TARU PUBLICATIONS
Author

Pankaj Dadheech

Department of Computer Science & Engineering, Management & Gramothan Jaipur, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur, Rajasthan, 302017, India

Published papers
46
Citations
21
Views
12,242
Downloads
3,633

Publications

46 papers
Open Access Research Article·pp. 1023–1031·Vol. 29, Issue 4Apr 2026

A novel algorithmic approach of progressive transfer learning for MRI braintumor classification using VGG16 architecture

Sunil Kumar Agarwal, Yogesh Kumar Gupta, Pankaj Dadheech

Published Online: 09 Apr 2026DOI: 10.47974/JIM-2572

In this paper: Many diseases exist worldwide. Among them, a brain tumour is the most dangerous and critical disease for human survival. Early detection of this abnormality is essential for effective patient treatmen...

AbstractReferencesFull Text PDF (783 KB)Views: 114Downloads: 95Citations: 0
Open Access Research Article·pp. 1033–1044·Vol. 29, Issue 4Apr 2026

Mathematical cognitive modelling enhanced by deep learning for understanding human decision making in complex sequential tasks

Gayathri Ananthakrishnan, Hayder M. A. Ghanimi, Kolluru Suresh Babu, Anilambica Kata, Gunaganti Sravanthi, Aseel Smerat, Sudhakar Sengan, Pankaj Dadheech

Published Online: 09 Apr 2026DOI: 10.47974/JIM-2573

In this paper: Conventional mathematical models and data-driven deep learning (DL) methods are both tested for Human Decision-Making (HDM) in Complex Sequential Tasks (CST). These methods include complicated cogniti...

AbstractReferencesFull Text PDF (725 KB)Views: 229Downloads: 95Citations: 0
Open Access Research Article·pp. 1045–1055·Vol. 29, Issue 4Apr 2026

Stochastic differential equation modeling of climate-driven ecological population dynamics

L. V. Arun Shalin, Hayder M. Ali, Saleh Ali Alomari, T. Santhi Sri, G. Sivakumar, Aseel Smerat, Sudhakar Sengan, Pankaj Dadheech

Published Online: 09 Apr 2026DOI: 10.47974/JIM-2574

In this paper: Complex, non-linear human connections contribute to the significant impact that the inherently unpredictable nature of environmental factors (EF) has on the behavior of environmental populations. To f...

AbstractReferencesFull Text PDF (691 KB)Views: 229Downloads: 87Citations: 0
Open Access Research Article·pp. 1125–1134·Vol. 29, Issue 2-BFeb 2026

Secure and transparent artificial intelligence through uncertainty-infused algebraic frameworks

Bagesh Kumar, Jeba Nega Cheltha, Praveen Kumar Yadav, Manish Kumar Sharma, Pankaj Dadheech, Shyam Sunder Manaktala

Published Online: 16 Feb 2026DOI: 10.47974/JDMSC-2652

In this paper: Explainable Artificial Intelligence (XAI) increasingly demands mathematically grounded frameworks that not only enhance transparency and interpretability but also ensure computational security and tru...

AbstractReferencesFull Text PDF (868 KB)Views: 201Downloads: 79Citations: 0
Open Access Research Article·pp. 2059–2069·Vol. 28, Issue 6Sep 2025

Manifold learning and differential geometry for disease detection and risk prediction

Ashish Kumar, Komal Mehta Bhagat, Pankaj Dadheech, Sanwta Ram Dogiwal, Rakesh Sharma

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2347

In this paper: Healthcare datasets pose unique challenges: they are large, varied, and often contain hidden structure that standard analysis methods struggle to reveal. In this work, we propose a practical approach...

AbstractReferencesFull Text PDF (312 KB)Views: 214Downloads: 104Citations: 0
Open Access Research Article·pp. 1875–1885·Vol. 28, Issue 5-BAug 2025

Graph-theoretic and geometric methods for social network influence analysis

Neha Janu, Payal Garg, Komal Mehta Bhagat, Blessy Thankachan, Susheela Vishnoi, Pankaj Dadheech

Published Online: 30 Aug 2025DOI: 10.47974/JDMSC-2364

In this paper: The growing role we play in influencing and being influenced by those around us, for better or worse, underscores the importance of having proven ways to analyze and model the propagation of influence...

AbstractReferencesFull Text PDF (254 KB)Views: 287Downloads: 93Citations: 0
Open Access Research Article·pp. 1887–1898·Vol. 28, Issue 5-BAug 2025

The secured authentication system : Integrated cyber security end-to-end based cyber-physical systems for improved DevOps resilience with authentication

Vishnu Priya Arivanantham, Hayder M. A. Ghanimi, Vijaya Krishna Sonthi, Firas Tayseer Ayasrah, Reena Mahapatra Lenka, P. Hemalatha, Sudhakar Sengan, Pankaj Dadheech

Published Online: 30 Aug 2025DOI: 10.47974/JDMSC-2365

In this paper: The software development model is changing fast, and the challenge of security remains the primary attention, particularly with the implementation of Development and Operations (DevOps), Distributed L...

AbstractReferencesFull Text PDF (500 KB)Views: 191Downloads: 63Citations: 1
Open Access Research Article·pp. 1911–1922·Vol. 28, Issue 5-BAug 2025

Blockchain-based cybersecurity : A predictive privacy and security of cyber-physical systems

N. Keerthana, Hayder M. A. Ghanimi, P. V. V. S. Srinivas, Naveen Reddy Pendli, Firas Tayseer Ayasrah, M. Anto Bennet, Sudhakar Sengan, Pankaj Dadheech

Published Online: 30 Aug 2025DOI: 10.47974/JDMSC-2367

In this paper: Suspicious activities in the cyber-crime world are increasing, so modern security measures of Cyber-Physical Systems (CPS) are required. This proposed model for Cybersecurity is known as the Predictiv...

AbstractReferencesFull Text PDF (306 KB)Views: 176Downloads: 73Citations: 1
Open Access Research Article·pp. 1935–1944·Vol. 28, Issue 5-BAug 2025

A cyber-physical system with blockchain integrated chaotic secure hash algorithms-256 for secured supply chain management system

K. R. Praneeth, Hayder M. A. Ghanimi, M. Srinivasa Narayana, Kafila, Sireesha Nanduri, Ravi Kumar Bommisetti, Sudhakar Sengan, Pankaj Dadheech

Published Online: 30 Aug 2025DOI: 10.47974/JDMSC-2369

In this paper: In the background of the contemporary Supply Chain (SC) environment, the motivation is on cyber security of Cyber-Physical Systems (CPS), openness, and optimization. This paper aims to develop a Secur...

AbstractReferencesFull Text PDF (538 KB)Views: 277Downloads: 87Citations: 0
Open Access Research Article·pp. 1945–1955·Vol. 28, Issue 5-BAug 2025

Comparison of cloud and edge computing based face recognition for security enhancement

Rekha Chaturvedi, Puja Gupta, Ramesh Chand Pandey, Neeraj Kumar Rathore, Abhay Sharma, Pankaj Dadheech, Rahul Sharma

Published Online: 30 Aug 2025DOI: 10.47974/JDMSC-2370

In this paper: The implementation of novel intelligent applications has resulted in security enhancement in the way information is managed. The processing, storing, and functional aspects of computer systems have al...

AbstractReferencesFull Text PDF (551 KB)Views: 156Downloads: 76Citations: 0
Open Access Research Article·pp. 2059–2069·Vol. 28, Issue 5-BAug 2025

Explainable machine learning frameworks for cryptography protocol design using discrete structures

Mayank Namdev, Katib Showkat, Susheela Vishnoi, Pankaj Dadheech

Published Online: 30 Aug 2025DOI: 10.47974/JDMSC-2423

In this paper: This paper introduces Explainable Secure-Net, a new framework that leverages machine learning to aid in the automatic design of cryptographic key-exchange protocols whilst providing transparent human-...

AbstractReferencesFull Text PDF (459 KB)Views: 233Downloads: 67Citations: 0
Open Access Research Article·pp. 2071–2080·Vol. 28, Issue 5-BAug 2025

AI-augmented cryptanalysis using combinatorics and reinforcement learning

Payal Garg, Aruna Verma, Sushama Tanwar, Pankaj Dadheech

Published Online: 30 Aug 2025DOI: 10.47974/JDMSC-2424

In this paper: On one side, the modern day symmetric-key cryptography protects everything from our online banking to critical infrastructures, and the giant key-space of AES-128 alone around 3.4×10³⁸ possibilities m...

AbstractReferencesFull Text PDF (543 KB)Views: 359Downloads: 75Citations: 0
Open Access Research Article·pp. 2081–2092·Vol. 28, Issue 5-BAug 2025

Cyber security with blockchain-based cyber-physical system for key generation in medi-cloud computer systems

Vishnu Priya Arivanantham, Hayder M. A. Ghanimi, Sagar Rane, V. Jasmine Sowmya, Kamal Poon, N. Mythili, Sudhakar Sengan, Pankaj Dadheech

Published Online: 30 Aug 2025DOI: 10.47974/JDMSC-2366

In this paper: Ensuring the confidentiality and integrity of healthcare records in Blockchain (BC)-based Medi-Cloud Systems (MCS) is vital, with a focus on Key Management Systems (KMS). This investigation presents a...

AbstractReferencesFull Text PDF (713 KB)Views: 167Downloads: 70Citations: 0
Open Access Research Article·pp. 2093–2102·Vol. 28, Issue 5-BAug 2025

Data-driven, transparent synthesis of lattice-based cryptosystems with hybrid security verification

Shalini Pathak, Basu Kalyanwat, Ashish Kumar, Pankaj Dadheech

Published Online: 30 Aug 2025DOI: 10.47974/JDMSC-2426

In this paper: This paper introduces a unified, data-driven framework for the end-to-end synthesis and security verification of lattice-based cryptosystems. Beginning with a curated benchmark of real-world implement...

AbstractReferencesFull Text PDF (335 KB)Views: 211Downloads: 92Citations: 0
Open Access Research Article·pp. 2103–2114·Vol. 28, Issue 5-BAug 2025

An enterprise blockchain model : A reliable cryptography-based cyber-physical systems for securing user data

V. Ramachandran, Hayder M. A. Ghanimi, Bhaskar Marapelli, Navleen Kaur, M. Rajya Laxmi, Ravi Kumar Bommisetti, Sudhakar Sengan, Pankaj Dadheech

Published Online: 30 Aug 2025DOI: 10.47974/JDMSC-2368

In this paper: This paper introduces a Cyber-Physical System (CPS) that can be used to improve privacy protection in enterprise Blockchain (BC) systems, particularly in Hyperledger Fabric (HF). The proposed CPS empl...

AbstractReferencesFull Text PDF (507 KB)Views: 232Downloads: 73Citations: 1
Open Access Research Article·pp. 2175–2185·Vol. 28, Issue 5-BAug 2025

Lightweight HECC-DWT-based secure image encryption with integrity verification and access control

Anshika Malsaria, Vijay Kumar Sharma, Pankaj Dadheech, Praveen Kumar Yadav, Sanwta Ram Dogiwal, Bhanu Pratap Soni

Published Online: 30 Aug 2025DOI: 10.47974/JDMSC-2433

In this paper: This paper presents a secure and lightweight image encryption framework combining Hyperelliptic Curve Cryptography (HECC) and Discrete Wavelet Transform (DWT) for optical images. The proposed method b...

AbstractReferencesFull Text PDF (486 KB)Views: 143Downloads: 70Citations: 0
Open Access Research Article·pp. 1835–1843·Vol. 28, Issue 5-AAug 2025

An efficient image steganography using spider monkey optimization

Hemlata Goyal, Sunita Singhal, Manya Khater, Adyasha Mahanta, Pankaj Dadheech

Published Online: 30 Aug 2025DOI: 10.47974/JDMSC-2183

In this paper: Image steganography, which encodes secret information into digital photos, is crucial for covert communication. It’s critical to strike a delicate balance between maintaining the altered image’s visua...

AbstractReferencesFull Text PDF (404 KB)Views: 192Downloads: 82Citations: 0
Open Access Research Article·pp. 2477–2488·Vol. 28, Issue 6Sep 2025

Enhancing crypto-interoperability resilience (CIR) by bridging the gap between classical and post-quantum cryptographic standards

Tarun Jain, Loveleen Kumar, Ginika Mahajan, Pankaj Dadheech, Blessy Thankachan

Published Online: 09 Jul 2025DOI: 10.47974/JDMSC-2333

In this paper: With the emergence of real quantum computing technology, the quest to establish strong and secure post-quantum cryptographic (PQC) standards will only grow more urgent. These security standards protec...

AbstractReferencesFull Text PDF (406 KB)Views: 235Downloads: 75Citations: 0
Open Access Research Article·pp. 2489–2497·Vol. 28, Issue 6Sep 2025

Quantum-resilient cryptographic schemes using multivariate polynomial lattices

Neha Janu, Loveleen Kumar, Dinesh Kumar Saini, Pankaj Dadheech, Blessy Thankachan

Published Online: 09 Jul 2025DOI: 10.47974/JDMSC-2334

In this paper: In the changing field of post-quantum cryptography, making digital communications immune to quantum attacks is a footstone. This paper proposes a new cryptographic platform called Multivariate Polynom...

AbstractReferencesFull Text PDF (530 KB)Views: 203Downloads: 89Citations: 0
Open Access Research Article·pp. 627–636·Vol. 28, Issue 2Mar 2025

Graph theory based mathematical methods for improved explainable AI

Ansh Vashist, Aditya Joshi, Sanjay Tiwari, Rakesh Sharma, Tarun Jain, Pankaj Dadheech

Published Online: 15 Mar 2025DOI: 10.47974/JIM-2106

In this paper: This paper introduces a novel framework aimed at improving the clarity and dependability of explanations generated by AI systems specializing in Natural Language Processing (NLP). By employing a compr...

AbstractReferencesFull Text PDF (171 KB)Views: 338Downloads: 82Citations: 0
Open Access Research Article·pp. 637–646·Vol. 28, Issue 2Mar 2025

Mathematics driven methods with fractional calculus and topological data analysis in image segmentation

Tarun Jain, Aditya Joshi, Arul Keswani, Ajay Kumar, Pankaj Dadheech

Published Online: 15 Mar 2025DOI: 10.47974/JIM-2107

In this paper: This research paper introduces a novel mathematical model that integrates fractional calculus with topological data analysis (TDA) for image segmentation. Fractional calculus, which extends the concep...

AbstractReferencesFull Text PDF (342 KB)Views: 235Downloads: 84Citations: 1
Open Access Research Article·pp. 647–658·Vol. 28, Issue 2Mar 2025

Fractal image compression using digital cone metric space

T. Gopalakrishnan, Hussein Z. Almngoshi, Vijaya Kumar Koppula, K. Dinesh, Vijaya Krishna Sonthi, Sudhakar Sengan, Pankaj Dadheech

Published Online: 15 Mar 2025DOI: 10.47974/JIM-2108

In this paper: This work presents Fixed Point Theorems (FPT) on Digital Images (DI) based on the Banach contraction concept developed. The study aims to develop the application of Banach Contraction Mapping Theory (...

AbstractReferencesFull Text PDF (415 KB)Views: 225Downloads: 80Citations: 2
Open Access Research Article·pp. 659–667·Vol. 28, Issue 2Mar 2025

Wireless sensor networks with modular metric spaces

Swapna Siddamsetti, Mustafa Moosa Qasim, Narne Sravanthi, K. Dinesh, V. Velmurugan, Sudhakar Sengan, Pankaj Dadheech

Published Online: 15 Mar 2025DOI: 10.47974/JIM-2109

In this paper: Chistyakov introduced notions of Metric Modular Spaces (MMS) recently. There are motivating chances when integrating the Fixed-Point Theorem (FPT) of MMS into the model and function of a Wireless Sens...

AbstractReferencesFull Text PDF (401 KB)Views: 353Downloads: 93Citations: 0
Open Access Research Article·pp. 2123–2132·Vol. 27, Issue 7Oct 2024

Discrete mathematics for strengthening multivariate polynomial cryptography by addressing vulnerabilities

Ginika Mahajan, Sanjay Tiwari, Rakesh Sharma, Rohit Kumar Gupta, Pankaj Dadheech

Published Online: 15 Oct 2024DOI: 10.47974/JDMSC-2085

In this paper: Multivariate Polynomial Cryptography (MPC) has emerged as a promising candidate for securing digital communication in the post-quantum era. Despite its potential, existing MPC schemes exhibit vulnerab...

AbstractReferencesFull Text PDF (328 KB)Views: 275Downloads: 104Citations: 0
Open Access Research Article·pp. 2133–2141·Vol. 27, Issue 7Oct 2024

Lucky edge geometric mean labeling of graphs and applications in electrical networks

P. Mariaraja, Hussein Z. Almngoshi, C. M. Hilda Jerlin, S. Muthuperumal, K. Amarendra, Sudhakar Sengan, Pankaj Dadheech

Published Online: 15 Oct 2024DOI: 10.47974/JDMSC-2086

In this paper: A Lucky Edge Geometric Mean Labeling (LEGML) is a function μ that assigns the integers to the vertices of graph G such that for every edge as ‘{E}’, uv∈E(G) there exists a function μ*:E(G) → N is defi...

AbstractReferencesFull Text PDF (484 KB)Views: 287Downloads: 99Citations: 0
Open Access Research Article·pp. 2143–2154·Vol. 27, Issue 7Oct 2024

Leveraging blockchain technology to combat deception, deepfake, and counterfeit system

T. Gopalakrishnan, Hayder M. A. Ghanimi, Tanweer Alam, K. Sreekanth, K. E. Purushothaman, Sudhakar Sengan, Pankaj Dadheech

Published Online: 15 Oct 2024DOI: 10.47974/JDMSC-2087

In this paper: Counterfeit technology propagation and deepfake systems threaten authenticity, trust, and data integrity. This research article proposes a novel technique that leverages Blockchain Technology (BT) int...

AbstractReferencesFull Text PDF (462 KB)Views: 377Downloads: 92Citations: 2
Open Access Research Article·pp. 2155–2167·Vol. 27, Issue 7Oct 2024

Enhancing cryptographic robustness through error-correcting codes derived from network graphs

Gayathri Ananthakrishnan, Hayder M. A. Ghanimi, P. Pushpa, T. K. Rama Krishna Rao, M. Vedaraj, Sudhakar Sengan, Pankaj Dadheech

Published Online: 15 Oct 2024DOI: 10.47974/JDMSC-2088

In this paper: Secure data transmission is essential for securing sensitive data generated in huge volumes in today’s growing digital era. In today’s growing digital world, secure data transfer is essential for secu...

AbstractReferencesFull Text PDF (538 KB)Views: 335Downloads: 93Citations: 0
Open Access Research Article·pp. 2219–2230·Vol. 27, Issue 7Oct 2024

Enhanced network security through algebraic cryptanalysis of elliptic curve cryptography

Madan Mohan Tito Ayyalasomayajula, Hayder M. A. Ghanimi, M. Manimaran, Vijaya Krishna Sonthi, Abrar Ahmed Katiyan, Sudhakar Sengan, Pankaj Dadheech

Published Online: 15 Oct 2024DOI: 10.47974/JDMSC-2093

In this paper: The growing threat of cyberattacks has rendered the research of secure online systems an issue of concern. Elliptic Curve Cryptography (ECC) is an enhanced security benchmark that provides high-securi...

AbstractReferencesFull Text PDF (632 KB)Views: 256Downloads: 76Citations: 2
Open Access Research Article·pp. 785–795·Vol. 27, Issue 2-BMar 2024

The fusion of quantum chaos and nonlinear dynamics in securing image encryption

Vivek Kumar Verma, Mudunuri Venkata Chaitanya Varma, Arjun Jala, Rohit Kumar Gupta, Pankaj Dadheech

Published Online: 12 Apr 2024DOI: 10.47974/JDMSC-1955

In this paper: In the rapidly evolving landscape of digital communication, the security of image data transmits paramount importance. This paper introduces a novel encryption framework that integrates the principles...

AbstractReferencesFull Text PDF (153 KB)Views: 250Downloads: 63Citations: 0
Open Access Research Article·pp. 203–214·Vol. 27, Issue 2-AMar 2024

Chebyshev polynomial approximation in CNN for zero-knowledge encrypted data analysis

Hayder M. A. Ghanimi, T. Gopalakrishnan, G. Joel Sunny Deol, K. Amarendra, Pankaj Dadheech, Sudhakar Sengan

Published Online: 06 Apr 2024DOI: 10.47974/JDMSC-1880

In this paper: Integrating Deep Learning (DL) techniques in Convolutional Neural Networks (CNNs) with encrypted data analysis is an emerging field for enhancing data privacy and security. A significant challenge in...

AbstractReferencesFull Text PDF (378 KB)Views: 378Downloads: 105Citations: 0
Open Access Research Article·pp. 237–248·Vol. 27, Issue 2-AMar 2024

Merkle-Damgård hash functions and blockchains : Securing electronic health records

Hayder M. A. Ghanimi, Romel P. Melgarejo-Bolivar, Alfredo Tumi-Figueroa, Samrat Ray, Pankaj Dadheech, Sudhakar Sengan

Published Online: 06 Apr 2024DOI: 10.47974/JDMSC-1878

In this paper: The integration of Blockchain (BC) technology with the Merkle-Damgård Structure (M-DS) presents a practical model for securing Electronic Health Records (EHR). This research study examines how these c...

AbstractReferencesFull Text PDF (519 KB)Views: 293Downloads: 78Citations: 0
Open Access Research Article·pp. 249–259·Vol. 27, Issue 2-AMar 2024

Secure multi-party computation in deep learning : Enhancing privacy in distributed neural networks

P. Vidya Sagar, Hayder M. A. Ghanimi, L. Arokia Jesu Prabhu, L. Raja, Pankaj Dadheech, Sudhakar Sengan

Published Online: 06 Apr 2024DOI: 10.47974/JDMSC-1879

In this paper: Ensuring data privacy while applying Deep Learning (DL) on distributed datasets represents an essential task in the current period of critical data security. Data privacy and accuracy of models are ty...

AbstractReferencesFull Text PDF (390 KB)Views: 408Downloads: 67Citations: 4
Open Access Research Article·pp. 361–370·Vol. 27, Issue 2-AMar 2024

Enhanced security in federated learning by integrating homomorphic encryption for privacy-protected, collaborative model training

Ganga Rama Koteswara Rao, Hayder M. A. Ghanimi, V. Ramachandran, Dokhyl Al-Qahtani, Pankaj Dadheech, Sudhakar Sengan

Published Online: 06 Apr 2024DOI: 10.47974/JDMSC-1891

In this paper: A significant novel approach in distributed ML, Federated Learning (FL), enables multiple parties to work simultaneously on developing models while securing the confidentiality of their unique dataset...

AbstractReferencesFull Text PDF (480 KB)Views: 350Downloads: 69Citations: 4
Open Access Research Article·pp. 371–382·Vol. 27, Issue 2-AMar 2024

Security and privacy concerns in social networks mathematically modified metaheuristic-based approach

Raguru Jaya Krishna, T. Gopalakrishnan, M. Divyapushpalakshmi, K. Amarendra, Pankaj Dadheech, Sudhakar Sengan

Published Online: 06 Apr 2024DOI: 10.47974/JDMSC-1892

In this paper: Potential risks and vulnerabilities in Social Networks (SN) that may threaten the confidentiality, accuracy, and accessibility of data provided by users have been identified as safety risks. Unauthori...

AbstractReferencesFull Text PDF (292 KB)Views: 263Downloads: 62Citations: 0
Open Access Research Article·pp. 397–407·Vol. 27, Issue 2-AMar 2024

Entropic uncertainty in quantum-state cryptography : A mathematical framework for quantum-resilient encryption

Vivek Kumar Verma, Bhavna Saini, Tarun Jain, Pankaj Dadheech

Published Online: 06 Apr 2024DOI: 10.47974/JDMSC-1907

In this paper: In the escalating race between cryptographic security and quantum computing capabilities, the need for robust encryption methodologies that can withstand the prowess of quantum algorithms is more pres...

AbstractReferencesFull Text PDF (172 KB)Views: 237Downloads: 86Citations: 0
Open Access Research Article·pp. 501–512·Vol. 27, Issue 2-AMar 2024

Exploring elliptic geometry in neural networks : The concept of elliptic neural networks (ENN)

Vivek Kumar Verma, Bhavna Saini, Anju Yadav, Pankaj Dadheech

Published Online: 06 Apr 2024DOI: 10.47974/JDMSC-1906

In this paper: The exploration of non-Euclidean geometries in the context of neural network architectures presents a novel avenue for enhancing the processing of complex data structures. This paper introduces the co...

AbstractReferencesFull Text PDF (444 KB)Views: 220Downloads: 56Citations: 0
Open Access Research Article·pp. 525–536·Vol. 27, Issue 2-AMar 2024

Quantum graph theoretic encryption and dynamic key evolution in secure quantum communication networks

Vivek Kumar Verma, Bhavna Saini, Tarun Jain, Pankaj Dadheech

Published Online: 06 Apr 2024DOI: 10.47974/JDMSC-1908

In this paper: The dawn of the quantum era marks a pivotal moment in the evolution of digital communications, bringing forth both unparalleled potential and unprecedented challenges. This paper delves into the realm...

AbstractReferencesFull Text PDF (192 KB)Views: 207Downloads: 76Citations: 0
Open Access Research Article·pp. 273–283·Vol. 27, Issue 2Mar 2024

Cognitive equilibrium and instability : Lyapunov stability analysis in mental health research

Vivek Kumar Verma, Bhavna Saini, Tarun Jain, Pankaj Dadheech

Published Online: 19 Mar 2024DOI: 10.47974/JIM-1821

In this paper: Mental well-being is often seen as a fragile state, akin to a tightrope walk of balance. In our paper, “Cognitive Equilibrium and Instability: Lyapunov Stability Analysis in Mental Health Research,” w...

AbstractReferencesFull Text PDF (362 KB)Views: 294Downloads: 54Citations: 0
Open Access Research Article·pp. 285–298·Vol. 27, Issue 2Mar 2024

Utilizing stochastic differential equations and random forest for precision forecasting in stock market dynamics

Nisha Vasudeva, M. Rajyalaxmi, A.V.V.S. Subbalakshmi, Sudhakar Sengan, Ravi Kumar Bommisetti, Pankaj Dadheech

Published Online: 19 Mar 2024DOI: 10.47974/JIM-1822

In this paper: The investigation for precision in Stock Market Forecasts (SMF) developments has led financial professionals to explore numerous modeling approaches. This paper investigates a new technique aimed at a...

AbstractReferencesFull Text PDF (583 KB)Views: 349Downloads: 76Citations: 2
Open Access Research Article·pp. 307–316·Vol. 27, Issue 2Mar 2024

Advancing viscoelastic material modeling : Tackling time-dependent behavior with fractional calculus

Shaymaa Hussein Nowfal, Ganga Rama Koteswara Rao, V. Velmurugan, Sudhakar Sengan, Ravi Kumar Bommisetti, Pankaj Dadheech

Published Online: 19 Mar 2024DOI: 10.47974/JIM-1827

In this paper: A combination of inherent unique stress-strain response features, Viscoelastic Materials (VM) provide an integral part in many different fields of engineering. Although practical, these materials’ hig...

AbstractReferencesFull Text PDF (409 KB)Views: 363Downloads: 65Citations: 0
Open Access Research Article·pp. 393–401·Vol. 27, Issue 2Mar 2024

Modular metric spaces : Some fixed-point theorems and application of secure dynamic routing for WSN

Swapna Siddamsetti, Hussein Z. Almngoshi, K. Dinesh, G. C. Prashant, M. Anto Bennet, Pankaj Dadheech, Sudhakar Sengan

Published Online: 19 Mar 2024DOI: 10.47974/JIM-1890

In this paper: Data exchange within a Wireless Sensor Network (WSN) needs to adhere to high security protocols. The shortest possible route for the transfer of data between two interconnected packets is selected by...

AbstractReferencesFull Text PDF (380 KB)Views: 385Downloads: 73Citations: 0
Open Access Research Article·pp. 403–414·Vol. 27, Issue 2Mar 2024

Quantitative fusion of NLP, fMRI, and EEG data : A mathematical model for decoding semantic processing in the brain

Vivek Kumar Verma, Gottumukkala K. Chaitanya Varma, Ch. Karthikeya Varma, Anita Shrotriya, Pankaj Dadheech

Published Online: 19 Mar 2024DOI: 10.47974/JIM-1891

In this paper: This research introduces a novel mathematical model designed to integrate Natural Language Processing (NLP), functional Magnetic Resonance Imaging (fMRI), and Electroencephalography (EEG) data, aiming...

AbstractReferencesFull Text PDF (200 KB)Views: 345Downloads: 81Citations: 0
Open Access Research Article·pp. 415–425·Vol. 27, Issue 2Mar 2024

Mathematical exploration of consciousness through topological data analysis for decoding neurobiological states

Tarun Jain, Ashish Kumar, Vivek Kumar Verma, Pankaj Dadheech, Sanwta Ram Dogiwal

Published Online: 19 Mar 2024DOI: 10.47974/JIM-1892

In this paper: In this paper, we embark on a groundbreaking journey to understand one of the most profound mysteries of the human mind: consciousness. Our approach is unique because we use a branch of mathematics ca...

AbstractReferencesFull Text PDF (458 KB)Views: 322Downloads: 74Citations: 0
Open Access Abstract·pp. i–vii·Vol. 26, Issue 5Aug 2023

Special Issue on: Advances in Secure, Smart and Intelligent Technology based systems Foreword by Guest Editors and Contents

Dinesh Goyal, Anil Kumar, Pankaj Dadheech

Published Online: 09 Sep 2023DOI: 10.47974/JDMSC-26-5-Foreword

In this paper: In today’s fast-paced technological landscape, the fields of Artificial Intelligence (AI), Smart Technologies, and Data Science are experiencing unprecedented growth. With the rise of Computer Vision,...

AbstractFull Text PDF (115 KB)Views: 306Downloads: 77Citations: 0
Open Access Research Article·pp. 383–392·Vol. 44, Issue 3Apr 2023

Breast cancer prediction using supervised machine learning techniques

Pankaj Dadheech, Vijay H. Kalmani, Sanwta Ram Dogiwal, Vijay Kumar Sharma, Ankit Kumar, Saroj Kumar Pandey

Published Online: 11 Aug 2023DOI: 10.47974/JIOS-1348

In this paper: Breast cancer is one of the most prevalent diseases in India’s urban regions and the second most common in the country’s rural parts. In India, a woman is diagnosed with breast cancer growth every fou...

AbstractReferencesFull Text PDF (311 KB)Views: 286Downloads: 77Citations: 1
Open Access Abstract·pp. i–vii·Vol. 26, Issue 3Apr 2023

Special Issue on: Current Research Trends in Secure Computer Vision, IoT and Machine Learning Foreword by Guest Editors and Contents

Dinesh Goyal, Anil Kumar, Pankaj Dadheech, Carlos M. Travieso-Gonzalez

Published Online: 01 Apr 2023DOI: 10.47974/JDMSC-26-3-Foreword

In this paper: Security has been the most perpetual domain, with advancements in other domains and applications like Computer vision, IoT and Machine learning, is today’s most rapidly growing technical domains to fa...

AbstractFull Text PDF (120 KB)Views: 256Downloads: 46Citations: 0