Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.
Ari Ernesto Ortiz Castellanos, Chuan-Ming Liu
In this paper: The latent structure found in vast, intricate, high-dimensional datasets is effectively and accurately captured by Variational autoencoders (VAEs). Existing VAE architectures struggle with issues comm...
Hasan Arslan, Seokjin Kim
In this paper: This study extends the dynamic newsvendor model to fast fashion, integrating demand spillover and deliberate understocking to explore inventory scarcity’s impact on demand. We demonstrate that strateg...
Haiyan Liu, Yi Cheng, Siyu Gao, Hanzhe Yang
In this paper: With advances in science and technology, optimization problems increasingly involve numerous decision variables, posing significant challenges for optimization algorithms. These problems are often men...
Nafisur Rahman, Farheen Siddiqui, Jawed Ahmed, Md. Tabrez Nafis
In this paper: Efficient allocation of resources is essential in disaster response to reduce the adverse effects of catastrophic events and expedite recovery. The complexity of these situations requires strong decis...
K. S. Sahoo, A. K. Mahapatra, A. Sahoo, J. K. Dash
In this paper: A solution technique is developed for Chance Constrained Programming (CCP) problems where the coefficients appearing in the objective function and constraints are assumed to follow a two-parameter exp...
Prasanta Kumar Sahoo, Debasis Gountia, Ranjan Kumar Dash
In this paper: Due to the growing quantity of medical images, the patient data recognition is the important one for treatment clinical institutions. So, digital image watermarking has widespread importance at the ti...
Bishwa Raj Adhikari, Hari Nandan Nath, Tanka Nath Dhamala
In this paper: Many real-world applications—such as optimizing traffic flow, power distribution, communication networks, and financial transactions—frequently rely on network flow models. These problems often i...
Kaku Riya Dharmendra, Deepak Kumar Verma, Satvik Vats
In this paper: Signal classification via electroencephalography (EEG) is essential for smart healthcare systems and human-machine interaction systems. Centralized machine learning approaches are problematic because...
V. Dankan Gowda, B. C. Kavitha, Madan Mohanrao Jagtap, P. Ramesh Naidu, K.D.V. Prasad, Sampathirao Suneetha
In this paper: This paper explores mathematical computing methods of enhancing image processing in complicated systems through noise robustness, outline sharpness and processing speed. Conventional techniques have a...
Anu Kathuria
In this paper: Stinson and Wei [6] have extensively studied the construction of c-frame proof codes using Balanced Incomplete Block Designs (BIBDs), offering a powerful Combinatorial Approach to Digital Fingerprinti...
V. Dankan Gowda, Madan Mohanrao Jagtap, M. V. Kavitha, S. B. Manoj Kumar, K.D.V. Prasad, Sampathirao Suneetha
In this paper: Network densification has rapidly emerged as a critical aspect of the IoT since IoT networks are rapidly expanding, and there are immense difficulties in allocating resources, controlling latency, and...
Pooja Tyagi, Jaspreeti Singh, Anjana Gosain
In this paper: The classification of imbalanced datasets has garnered a significant research attention over the past decades. Although, numerous solutions have been proposed to address imbalanced classification prob...
S. K. Chhabra, Balvinder Shukla, Archana Chandra
In this paper: The study examines the challenges encountered by governing boards and managers in the successful execution of corporate governance practices and compliances in Indian companies. Despite extensive rese...
K. Hemanth Kumar, Hanan Ahmed, M. Ruby Salestina
In this paper: This study investigates and defines a novel vertex degree-based topological index, specifically the Leap Neighbourhood Zagreb indices and coindices of a graph R. These indices are distance-degree-base...
J. Vijayarangam, Sreelakshmi Subbarayan, J. Viswanath
In this paper: The Quadratic Assignment Problem (QAP) is an optimization problem that deals with the assignment of a set of facilities to an equal number of locations while minimizing the overall cost, based on pair...
C. T. Dora Pravina, G. Hemavathi, Sukumaran Damodaran
In this paper: This paper analyzes a single-server retrial queue with vacations and customer impatience in a multi-level stochastic environment. Customer arrivals follow a Poisson process whose rate depends on the e...
Deepika Gopi, J. Viswanath
In this paper: Handling inventory post-maturity presents challenges for supply chain revenue. This study investigates advance payment options through finite installments to improve inventory costs. It assesses the e...
Kanika Bhutani Anand, Sanjeev Bansal, Geeta Mishra
In this paper: In today’s volatile, unpredictable, complex and ambiguous (VUCA) climate, it is vital for organizations to remain agile to compete against rivals by undergoing digital transformation and altering empl...
Shilpa Thakur, Priyanka Agarwal, Anil Kumar Goyal
In this paper: In the volatile, uncertain, complex, and ambiguous (VUCA) world, there are numerous factors that leads to an organization failure, inter-se, corporate governance plays a critical role in corporate fai...
V. Dankan Gowda, N. Suganthi, Madan Mohanrao Jagtap, Sampada Abhijit Dhole, Jayamala Kumar Patil, K.D.V. Prasad
In this paper: To enhance noise compensation as well as the recovery of data, this paper enhances a better signal processing platform depending on the Fourier Transform, Wavelet Transform and Kalman Filtering. Simil...
Vilas Machhi, Apurva Shah
In this paper: Dependable emotion generation is an essential requirement for enhancing affective computing studies, especially for the development and assessment of strong machine learning models. This study tackles...
Boualem Slimi, Redha Sakri
In this paper: In this study, we present a mathematical model with three objectives, by which we maximize the number of standard items in stock, by recovering the materials lost in the cutting process by welding, an...
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