Monthly Journal: Publishes peer-reviewed aticles on theoretical and applied statistics and management systems, expoloring industrial statistics, actuarial and decision sciences.
Volume 27, Issue 2·March 2024·28 articles
Dinesh Goyal, Anil Kumar, Ruchi Goyal
In this paper: In today’s rapidly evolving landscape of technology and business, the synergy between Mathematics, Optimization Techniques, and Innovation has never been more critical than now. Mathematics is the bac...
J. S. Sawale, Praful V. Barekar, J. M. Gandhi, Satish N. Gujar, Suresh Limkar, Samir N. Ajani
In this paper: This research delves into the application of Deep Learning (DL) to medical imaging for drug discovery, highlighting DL’s ability to enhance diagnostic precision and efficiency. The research looks into...
Dinesh Bhoyar, Sachin R. Jain, Jagdish D. Kene, Y. A. Suryawanshi, Arvind R. Bhagat Patil, Shivkumar Karale
In this paper: The majority of the GDP of an agriculture-based economy comes from farming. This initiative was inspired by the rising suicide rates among farmers, which may be related to poor crop yields. The field...
V. S. Ghorpade, Pradnya A. Jadhav, R. S. Jadhav, Satish N. Gujar, Wankhede Vishal Ashok, Shraddha V. Pandit
In this paper: This study explores the crucial nexus between artificial intelligence (AI) and clinical decision-making in pharmaceuticals, highlighting the need to close the growing gap between black box models and...
Shivkumar Karale, Nikhil Mangrulkar, Sagarkumar S. Badhiye, Arvind R. Bhagat Patil, Dinesh Bhoyar, Rajesh Khobragade
In this paper: Though Medical sector is referred to as one of the most advance sector in the Country, there are some implications which shows disorientation of medical sector and early prediction of various ailments...
A. A. Patil, Vaishali Niranjane, S. B. Dhadde, Anil Kumar, Santosh Borde, Pankaj Chandre
In this paper: In this paper, we investigate the use of predictive analytics and machine learning to improve patients’ adherence to prescribed medications. By analyzing past patient data, we are able to create a mod...
Smita R. Pidurkar, Seema Raut
In this paper: The human brain is unquestionably the most complex organ in the body and is acknowledged as the body’s control station. The wellness of this control station is depends on several human related factors...
Jyoti Arora, Sonia Rathee, Mamta Gahlan, Amita Yadav, Shalu
In this paper: The prevalence of diabetes has been steadily increasing, necessitating accurate prediction models to assist in early diagnosis and proactive management. In this paper, a hybrid machine learning-based...
Tabassum H. Khan, Sonali Ridhorkar
In this paper: NLP sentiment analysis involves pre-processing, feature extraction, feature selection, sentiment classification, and post-processing. Pre-processing can include PoS tagging, stop-word removal, languag...
Priti Golar, Rika Sharma
In this paper: Graphical User Authentication (GUA) is an image-based password system that leverages the human tendency to remember visuals more effectively. This methodology enables users to effortlessly generate an...
Praful V. Barekar, Kavita R. Singh
In this paper: In order to improve object tracking and detection in films with different lighting conditions, this paper provides a thorough review of noise filtering methods. Computer vision systems face difficulti...
Bhalchandra M Hardas, Mithun G. Aush, Vaishali Raut
In this paper: Cardiovascular diseases (CVD) remain a significant global health challenge, requiring the improvement of risk assessment methods using advanced data-driven optimization strategies. This study explores...
Uma Thakur, Reena Thakur, Sahil Somkuwar, Abhay Shendare, Rita Ingole, Achal Verma, Swejal Tidke
In this paper: This research introduces an innovative approach for efficiently monitoring objects in computer vision systems through combining machine learning (ML) algorithms and optimization strategies. Tracking o...
Gauri Dhopavkar, Mukta Takalikar, Manali Kshirsagar
In this paper: This study presents a new strategy for determining the meaning of words based on their use in text. Traditional methods struggle because they do not fully grasp the context around ambiguous words. Our...
Nisha Balani, Mona Mulchandani, Sakshi Vaswani, Sejal Tiwari, Kashish Gidwani, Muskaan Nagwani, Kameshwari Nagdeve
In this paper: In India, intelligent sprinkler systems powered by the Internet of Things have transformed landscape care, replacing outdated watering practices. These systems dynamically adjust to environmental chan...
Rashmi A. Wakode, Sharad W. Mohod
In this paper: Drowsy driving is a significant contributor to road traffic accidents, necessitating the development of robust and efficient detection systems. Existing approaches for detecting drowsy drivers often r...
Supriya S. Thombre, Latesh Malik, Sanjay Kumar
In this paper: Global healthcare has been under stress due to the COVID-19 pandemic, necessitating effective methods to determine COVID-19 patient severity and distribute resources accordingly. Current COVID-19 X-ra...
A. A. Koparde, Pradnya A. Jadhav, G. Jisha Annie, Dinesh Goyal, Bhalchandra M Hardas, Purva Mange
In this paper: Natural language processing (NLP) has emerged as an important tool in the biomedical industry for bettering medication information extraction and other knowledge gathering. In this study, we explore t...
Sweta Raut, Sohel Bhura, Jayesh Khushalani, Hyejin Kim, Nisha Ramani, Roshni Bajaj
In this paper: This research explores an innovative approach in construction engineering education, leveraging virtual reality for enhanced training and optimization. Traditional methods in this field often face dif...
N. R. Jadhav, Sunil Bhutada, S. R. Sagavkar, Rohit Pawar, Archana Bajirao Kanwade, Purva Mange
In this paper: The Integrating AI into pharmaceutical production processes represents a paradigm change for the pharmaceutical sector. This article examines the role of AI in pharmaceutical production, focusing on i...
A. S. Shete, Sunil Bhutada, M. B. Patil, Praveen H. Sen, Neha Jain, Prashant Khobragade
In this paper: Transparency, traceability, and security are three major challenges that blockchain technology has addressed in the pharmaceutical supply chain, making it a disruptive solution. The incorporation of b...
B. K. Panda, Pornima B. Niranjane, D. P. Mali, Prachi A. Bainalwar, Ujjwala Bal Aher, Saurabh Bhattacharya
In this paper: The revolutionary potential of machine learning (ML) in pharmacovigilance the early detection of adverse drug reactions (ADRs) in the digital era is examined in this study. It is difficult to promptly...
Lamiaa Mohammed Salem Akoosh, Farheen Siddiqui, Sherin Zafar, Sameena Naaz, M. Afshar Alam
In this paper: Extensive inquiry has been conducted to explore potential applications of machine learning methodologies in the realm of cardiovascular disease management. To facilitate a more comprehensive investiga...
Mehroush Banday, Sherin Zafar, M. Afshar Alam
In this paper: Two of the leading causes of mortality in the US are diabetes and cardiovascular disease. The first step in halting the course of these disorders in patients is to recognize and anticipate them. Using...
P. Ramesh Naidu, Pratik Gite, Vaskar Deka, K.D.V. Prasad, V. Dankan Gowda, Mirzanur Rahman
In this paper: Lifeline Donor groups are crucial in the field of humanitarian aid because they provide lifesaving aid in times of crisis. For effective resource management and aid coordination, it is crucial to draw...
Ruchi Goyal, Devika Sharma
In this paper: This study examines the critical influence of state-led policies on the development and nurturing of the startup ecosystem in Rajasthan, India, underscoring a strategic deployment of initiatives such...
Ankit Kumar Tiwari, Surendra Yadav
In this paper: This study introduces an algorithmic framework aimed at boosting the efficiency of cloud computing systems by employing connection pooling techniques. In the realm of cloud environments, optimizing pe...
Dibyanshu, R. K. S. Rajput
In this paper: This article outlines a methodology for developing and evaluating efficient image classification models using Convolutional Neural Networks (CNNs). It begins with meticulous network architecture desig...
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