T. K. Satish Kumar
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View article: Firefly algorithm driven intelligent system for multi-objective multimodal transportation optimization
Firefly algorithm driven intelligent system for multi-objective multimodal transportation optimization Open
View article: Occurrence of haemoprotozoa in dairy cattle across different animal husbandry setups in Haryana, India
Occurrence of haemoprotozoa in dairy cattle across different animal husbandry setups in Haryana, India Open
The present study was conducted over a period of 1.5 years from March 2022 to August 2023 in different animal husbandry setups [gaushala (cattle shelter), organized and unorganized farm] of cattle in Haryana, covering two different agro - …
View article: Capsule Network-Based Hybrid Deep Learning Model for Efficient Prediction of CRISPR-Cas9 Off-Target Effects
Capsule Network-Based Hybrid Deep Learning Model for Efficient Prediction of CRISPR-Cas9 Off-Target Effects Open
CRISPR-Cas9 genome editing has transformed biomedical research and the development of therapies, yet the challenge of unintended off-target effects remains a significant obstacle to its clinical use. In this study, we present a new deep le…
View article: A stability and robustness analysis of multi-criteria decision methods in logistics
A stability and robustness analysis of multi-criteria decision methods in logistics Open
View article: Optimization of fuzzy bottleneck cost transportation models in the decision framework of congruence modulo technique
Optimization of fuzzy bottleneck cost transportation models in the decision framework of congruence modulo technique Open
This article investigates the Congruence Modulo algorithm and time freezing method as innovative solutions for addressing fuzzy bottleneck cost transportation problems. Starting from the crisp bottleneck cost transportation problem, we ext…
View article: Vibroarthrographic Signal Classification for Knee Joint Disorder Detection using Tunable Q-factor Wavelet Transform based on Entropy Measures
Vibroarthrographic Signal Classification for Knee Joint Disorder Detection using Tunable Q-factor Wavelet Transform based on Entropy Measures Open
Research on Vibroarthrographic (VAG) signals presents a promising means for the early diagnosis of knee joint disorders. However, the classification problem for these signals faces serious issues due to their complex and dynamic nature. Th…
View article: Enhancing Lifelong Multi-Agent Path Finding with Cache Mechanism
Enhancing Lifelong Multi-Agent Path Finding with Cache Mechanism Open
Multi-Agent Path Finding (MAPF), which focuses on finding collision-free paths for multiple robots, is crucial in autonomous warehouse operations. Lifelong MAPF (L-MAPF), where agents are continuously reassigned new targets upon completing…
View article: Score Function Algorithmic Approach in Optimizing Dual Hesitant Fuzzy Multiobjective Transportation Models
Score Function Algorithmic Approach in Optimizing Dual Hesitant Fuzzy Multiobjective Transportation Models Open
Multiobjective transportation problem (MOTP) seeks to optimize multiple, often conflicting objectives within transportation and logistics systems. However, in real‐world scenarios, parameters such as transportation costs, time, availabilit…
View article: Spatio-Temporal Trajectory Planning with Group-Based Decision Topology for Autonomous Vehicle
Spatio-Temporal Trajectory Planning with Group-Based Decision Topology for Autonomous Vehicle Open
View article: Dynamic ranking function to optimize transshipment costs in intuitionistic Type-2 and Type-1 fuzzy environments
Dynamic ranking function to optimize transshipment costs in intuitionistic Type-2 and Type-1 fuzzy environments Open
In the dynamic realm of organizational logistics, accurately minimizing transportation and transshipment costs is crucial, yet often challenging due to inherent uncertainties. This paper introduces a novel application of fuzzy logic to pro…
View article: Trapezoidal neutrosophic teaching learning-based optimization in enhancing accuracy of diabetes prognosis
Trapezoidal neutrosophic teaching learning-based optimization in enhancing accuracy of diabetes prognosis Open
Diabetes is one of chronic diseases in which blood glucose (sugar) level soar up high where human body are incapable to absorb it properly. It is important to have an appropriate diagnosis for proper management and treatment. The aim of th…
View article: Priority-based Multi-feature Vector Model Using Convolution Neural Network for Biometric Authentication
Priority-based Multi-feature Vector Model Using Convolution Neural Network for Biometric Authentication Open
Many societal institutions have increased standards for the efficacy and dependability of identification systems in response to the ever-increasing sophistication of computer technology. Biometric identity systems have mostly supplanted th…
View article: Speeding Up Dominance Checks in Multi-Objective Search: New Techniques and Data Structures
Speeding Up Dominance Checks in Multi-Objective Search: New Techniques and Data Structures Open
In multi-objective search, given a directed graph where each edge is annotated with multiple cost metrics, a start state, and a goal state. We are interested in computing the Pareto frontier, i.e., the set of all undominated paths from the…
View article: Solving Facility Location Problems via FastMap and Locality Sensitive Hashing
Solving Facility Location Problems via FastMap and Locality Sensitive Hashing Open
Facility Location Problems (FLPs) arise while serving multiple customers in a shared environment, minimizing transportation and other costs. Hence, they involve the optimal placement of facilities. They are defined on graphs as well as in …
View article: Map Connectivity and Empirical Hardness of Grid-based Multi-Agent Pathfinding Problem
Map Connectivity and Empirical Hardness of Grid-based Multi-Agent Pathfinding Problem Open
We present an empirical study of the relationship between map connectivity and the empirical hardness of the multi-agent pathfinding (MAPF) problem. By analyzing the second smallest eigenvalue (commonly known as lambda2) of the normalized …
View article: Bounded-Suboptimal Weight-Constrained Shortest-Path Search via Efficient Representation of Paths
Bounded-Suboptimal Weight-Constrained Shortest-Path Search via Efficient Representation of Paths Open
In the Weight-Constrained Shortest-Path (WCSP) problem, given a graph in which each edge is annotated with a cost and a weight, a start state, and a goal state, the task is to compute a minimum-cost path from the start state to the goal st…
View article: IoMT Tsukamoto Type-2 fuzzy expert system for tuberculosis and Alzheimer’s disease
IoMT Tsukamoto Type-2 fuzzy expert system for tuberculosis and Alzheimer’s disease Open
Accurate disease monitoring is an extremely time-consuming task for medical experts and technocrats involved, requiring technical support for diagnostic systems. To overcome this situation, we developed an Internet of Medical Things (IoMT)…
View article: Constraint Composite Graph-Based Weighted CSP Solvers: An Empirical Study
Constraint Composite Graph-Based Weighted CSP Solvers: An Empirical Study Open
The Weighted Constraint Satisfaction Problem (WCSP) is a very expressive framework for optimization problems. The Constraint Composite Graph (CCG) is a graphical representation of a given (Boolean) WCSP that facilitates its reduction to a …
View article: Caching-Augmented Lifelong Multi-Agent Path Finding
Caching-Augmented Lifelong Multi-Agent Path Finding Open
Multi-Agent Path Finding (MAPF), which involves finding collision-free paths for multiple robots, is crucial in various applications. Lifelong MAPF, where targets are reassigned to agents as soon as they complete their initial targets, off…
View article: An Investigation into Multi-Stage, Variable-Batch Scheduling Across Multiple Production Units
An Investigation into Multi-Stage, Variable-Batch Scheduling Across Multiple Production Units Open
Against the backdrop of current market demands for a variety of products in small batches, traditional single-variety assembly lines are transitioning to variable production lines to accommodate the manufacturing of multiple similar produc…
View article: Hybrid approach of type-2 fuzzy inference system and PSO in asthma disease
Hybrid approach of type-2 fuzzy inference system and PSO in asthma disease Open
This research work presents a hybrid approach combining a type-2 fuzzy inference system with particle swarm optimization (PSO) to develop a type-2 fuzzy optimized inference system, specifically tailored for asthma patient data. Addressing …
View article: Design of a Species Identification Application to Fuel Sustainable Innovation through Biomimicry
Design of a Species Identification Application to Fuel Sustainable Innovation through Biomimicry Open
View article: Time-sequential probabilistic fermatean hesitant approach in multi-objective green solid transportation problems for sustainable enhancement
Time-sequential probabilistic fermatean hesitant approach in multi-objective green solid transportation problems for sustainable enhancement Open
In order to delineate the randomness and imprecision in a single framework of time-sequential information, we proposed the notion of a time-sequential probabilistic fermatean hesitant set (TS-PFHS). Triangular time-sequential probabilistic…
View article: Design of a Rapid Injury Response System in a Smart Factory
Design of a Rapid Injury Response System in a Smart Factory Open
View article: IoMT Tsukamoto Type-2 Fuzzy Expert System for Tuberculosis and Alzheimer's Disease
IoMT Tsukamoto Type-2 Fuzzy Expert System for Tuberculosis and Alzheimer's Disease Open
View article: MACHINE LEARNING-DRIVEN FUZZY C-MEANS CLUSTERING FOR MEDICAL IMAGE SEGMENTATION
MACHINE LEARNING-DRIVEN FUZZY C-MEANS CLUSTERING FOR MEDICAL IMAGE SEGMENTATION Open
Abstract In the contemporary landscape of machine learning, medical image analysis has experienced monumental leaps forward. Spearheading this progression are cutting-edge clustering and segmentation methods having reshapi…
View article: Classifying seismograms using the FastMap algorithm and support-vector machines
Classifying seismograms using the FastMap algorithm and support-vector machines Open
Neural networks and related deep learning methods are currently at the leading edge of technologies used for classifying complex objects such as seismograms. However they generally demand large amounts of time and data for model training a…
View article: Towards Effective Multi-Valued Heuristics for Bi-objective Shortest-Path Algorithms via Differential Heuristics
Towards Effective Multi-Valued Heuristics for Bi-objective Shortest-Path Algorithms via Differential Heuristics Open
In bi-objective graph search, each edge is annotated with a cost pair, where each cost corresponds to an objective to optimize. We are interested in finding all undominated paths from a given start state to a given goal state (called the P…
View article: Priority-Based Search for the Virtual Network Embedding Problem
Priority-Based Search for the Virtual Network Embedding Problem Open
The Virtual Network Embedding (VNE) problem is a constrained optimization problem. It arises in the context of allocating resources on heterogeneous physical networks to provide end-to-end computing services. In this paper, we introduce a …
View article: Development and Optimization of Microscale Cooling Devices for Electronics Cooling
Development and Optimization of Microscale Cooling Devices for Electronics Cooling Open
The creation of effective cooling solutions has been required to address thermal difficulties as a result of the ongoing miniaturisation and rising power densities of electronic devices.The development and optimisation of microscale coolin…