Santanu Kumar Sahoo
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View article: Attention enhanced hybrid deep learning model with 1D-CNN and BiLSTM for automated sleep apnea detection
Attention enhanced hybrid deep learning model with 1D-CNN and BiLSTM for automated sleep apnea detection Open
Sleep Apnea (SA) is an alarming sleep disorder characterized by repeated cessation of breathing during sleep, which frequently results in severe cardiovascular and metabolic impairment. The traditional techniques, such as polysomnography, …
View article: LABDT (Lexi AdaBoost Decision Tree): An Approach for Legal Outcome Prediction Fusing Lexical, Semantic, and Similarity-based features
LABDT (Lexi AdaBoost Decision Tree): An Approach for Legal Outcome Prediction Fusing Lexical, Semantic, and Similarity-based features Open
Legal outcome prediction is a complex task due to the nuanced vocabulary and reasoning embedded in judicial documents. This study proposes LABDT (Lexi AdaBoost Decision Tree), a novel hybrid framework that integrates lexical features (TF-I…
View article: aiGeneR 3.0: an enhanced deep network model for resistant strain identification and multi-drug resistance prediction in Escherichia coli causing urinary tract infection using next-generation sequencing data
aiGeneR 3.0: an enhanced deep network model for resistant strain identification and multi-drug resistance prediction in Escherichia coli causing urinary tract infection using next-generation sequencing data Open
Background Infectious diseases pose a global health threat, with antimicrobial resistance (AMR) exacerbating the issue. Considering Escherichia coli ( E. coli ) is frequently linked to urinary tract infections, researching antibiotic resis…
View article: The role of generative AI in medical image synthesis: A review
The role of generative AI in medical image synthesis: A review Open
Medical imaging is transformed with Generative artificial intelligence (AI) that offers robust tools for image synthesis, data augmentation and enhancement of image quality. Generative Adversarial Networks (GANs) have established themselve…
View article: Development of an intelligent streetlight control system for energy optimization in urban environments
Development of an intelligent streetlight control system for energy optimization in urban environments Open
The rapid development of urban areas has considerably increased energy spending, particularly in street lighting system. Traditional streetlight managing method often lack optimization, leading to inefficiencies and higher operational cost…
View article: Enhancing resilience in mobile ad hoc networks: deluge attack mitigation via machine learning based anomaly detection
Enhancing resilience in mobile ad hoc networks: deluge attack mitigation via machine learning based anomaly detection Open
Mobile Ad Hoc Networks (MANETs) face multiple security threats, with deluge attacks emerging as a particular threat to network performance. These conventional measures frequently fail in detecting or combating such attacks, considering the…
View article: AI-Powered Potato Plant Disease Detection: A Vision-Language Framework
AI-Powered Potato Plant Disease Detection: A Vision-Language Framework Open
Potato crops are a vital part of global food security. Potato leaf and crop health play a crucial role in determining the yield and quality of potato production. This paper presents a novel approach to potato disease detection by integrati…
View article: ARGai 2.0: A Feature Engineering Enabled Deep Network Model for Antibiotic Resistance Gene and Strain Identification in E. coli
ARGai 2.0: A Feature Engineering Enabled Deep Network Model for Antibiotic Resistance Gene and Strain Identification in E. coli Open
Escherichia coli (E. coli) is a group of bacteria that cause infections in the gastrointestinal (GI) tract and urinary tract (UTIs). The rise in antimicrobial resistance (AMR) due to antibioticresistant genes (ARGs) linked to E. coli strai…
View article: PERFORMANCE ANALYSIS OF MULTI-SWARM AI-BASED PSO, DE, AND K-MEANS FOR OPTIMIZATION TASKS
PERFORMANCE ANALYSIS OF MULTI-SWARM AI-BASED PSO, DE, AND K-MEANS FOR OPTIMIZATION TASKS Open
This study evaluates a multi-swarm AI framework that embeds K-Means within Particle Swarm Optimization (PSO) and Differential Evolution (DE) to overcome classic clustering weaknesses. Across benchmark datasets, DE delivers the best balance…
View article: AI-Powered Knowledge Graphs for Efficient Medical Information Retrieval and Decision Support
AI-Powered Knowledge Graphs for Efficient Medical Information Retrieval and Decision Support Open
The enormous volume of medical data has resulted in the development of sophisticated systems that facilitate information search and enable clinicians in decision-making process. Driven by artificial intelligence, knowledge graphs (KGs) pro…
View article: Finite Element Analysis and Parametric Study of Fiber Reinforced Lightweight Hollow Core Slabs Under Flexure using ABAQUS
Finite Element Analysis and Parametric Study of Fiber Reinforced Lightweight Hollow Core Slabs Under Flexure using ABAQUS Open
This research investigates the flexural behaviour of fibre-reinforced lightweight hollow core slabs (FR-LWHCS) using numerical simulations.A three-dimensional finite element (FE) model is developed to replicate the response of the HCS in a…
View article: aiGeneR 1.0: An Artificial Intelligence Technique for the Revelation of Informative and Antibiotic Resistant Genes in Escherichia coli
aiGeneR 1.0: An Artificial Intelligence Technique for the Revelation of Informative and Antibiotic Resistant Genes in Escherichia coli Open
Background: There are several antibiotic resistance genes (ARG) for the Escherichia coli (E. coli) bacteria that cause urinary tract infections (UTI), and it is therefore important to identify these ARG. Artificial Intelligence (AI) has be…
View article: Deep learning-based system to predict cardiac arrhythmia using hybrid features of transform techniques
Deep learning-based system to predict cardiac arrhythmia using hybrid features of transform techniques Open
View article: De-noising of ECG Signal and QRS Detection Using Hilbert Transform and Adaptive Thresholding
De-noising of ECG Signal and QRS Detection Using Hilbert Transform and Adaptive Thresholding Open
Electrocardiogram (ECG) is a primary diagnostic tool for cardiac disorders. During acquisition of ECG signals different noises like instrument noise, muscle noise, motion artifacts and baseline wander are frequently mixed with signals in r…