Augustian Isaac R
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View article: Advances and Trends in Metaheuristic-Optimized Cluster-Based Routing for Energy-Efficient Wireless Sensor Networks: A Comprehensive Review
Advances and Trends in Metaheuristic-Optimized Cluster-Based Routing for Energy-Efficient Wireless Sensor Networks: A Comprehensive Review Open
Wireless Sensor Networks (WSNs) have become indispensable across application domains such as environmental monitoring, surveillance, industrial automation, and smart infrastructure. A critical ongoing challenge remains energy management, o…
View article: Smarter Last-Mile Logistics: An Autonomous Transport Robot with Enhanced IoT Features and Smart Route Changes based on an Obstacle Avoidance
Smarter Last-Mile Logistics: An Autonomous Transport Robot with Enhanced IoT Features and Smart Route Changes based on an Obstacle Avoidance Open
Last-mile delivery remains time- and cost-intensive, and conventional autonomous delivery robots struggle when routes are planned once and left unchanged. We present a hybrid navigation system that fuses global IoT-guided re-routing with l…
View article: Light-MLLMAD: A Lightweight Multimodal Large Language Model for One-Shot Industrial Visual Anomaly Detection
Light-MLLMAD: A Lightweight Multimodal Large Language Model for One-Shot Industrial Visual Anomaly Detection Open
Industrial visual anomaly detection plays a pivotal role in ensuring product quality and operational safety across manufacturing, energy, and precision engineering sectors. However, most deep learning approaches rely on extensive defect da…
View article: Prospective Validation of the EAC+ Algorithm for Surgical Timing in Multi-System Trauma: A Multicentre Pragmatic Trial
Prospective Validation of the EAC+ Algorithm for Surgical Timing in Multi-System Trauma: A Multicentre Pragmatic Trial Open
The optimal timing of definitive surgical intervention in multi-system trauma remains a decisive factor in patient outcomes, yet existing protocols often fail to reflect real-time physiological readiness. This prospective multicentre study…
View article: Federated Deep Learning and Explainable AI for Real-Time Credit Card Fraud Detection in Highly Imbalanced Transaction Streams
Federated Deep Learning and Explainable AI for Real-Time Credit Card Fraud Detection in Highly Imbalanced Transaction Streams Open
The fraud detection systems using credit cards available today would need to contend, on the one hand, with the dynamically evolving cyber-fraud tactics and, on the other hand, the high-security data protection compliance regulations, as w…
View article: Quantum-Enhanced Federated Chaotic Transformer Framework for Ultra-Low Latency and Secure Multi-Site Telesurgery in 6G- Enabled Networks
Quantum-Enhanced Federated Chaotic Transformer Framework for Ultra-Low Latency and Secure Multi-Site Telesurgery in 6G- Enabled Networks Open
The next generation of telesurgery demands quantum-resilient, ultra-low latency, and highly secure distributed AI frameworks capable of functioning across heterogeneous clinical sites. Building on prior federated learning-based telesurgery…
View article: Adaptive Strategies for Geo Distributed Data Processing Across Heterogeneous Internet Landscapes
Adaptive Strategies for Geo Distributed Data Processing Across Heterogeneous Internet Landscapes Open
The complexity of geo-distributed data processing is difficult for traditional Map Reduce frameworks to handle because they were initially created for single-cluster environments. Despite efforts to address these issues, extensions like Hi…
View article: Performance Analysis of SVD-DSK-MIMO-OFDM System over Time Frequency Selective Fading Channels
Performance Analysis of SVD-DSK-MIMO-OFDM System over Time Frequency Selective Fading Channels Open
View article: Zero-Knowledge Cross-User De-Duplication for Big Data Storage on Cloud
Zero-Knowledge Cross-User De-Duplication for Big Data Storage on Cloud Open
View article: Prostate Gland Cancer Detection and Grade Classifying Using Gleason Score-Based Machine Learning Approach
Prostate Gland Cancer Detection and Grade Classifying Using Gleason Score-Based Machine Learning Approach Open
View article: Ai-Ml Driven Map-Matching Algorithm for Distinguishing Highway and Service Road Vehicular Movements Under Gnss Degradation
Ai-Ml Driven Map-Matching Algorithm for Distinguishing Highway and Service Road Vehicular Movements Under Gnss Degradation Open
View article: Deep learning-based skin lesion classification for cancer detection
Deep learning-based skin lesion classification for cancer detection Open
Early detection is crucial for a successful remedy of skin cancer and an upsurge of longevity, as it is one of the most ubiquitous kinds of cancer globally. This project introduces a skin cancer detection system that employs Convolutional …
View article: Optimizing Credit Card Fraud Detection with Random Forests and SMOTE
Optimizing Credit Card Fraud Detection with Random Forests and SMOTE Open
Credit card fraud is a growing concern in the financial industry, necessitating the development of efficient detection methods to minimize financial losses. In this project, we built a machine learning-based system to detect fraudulent tra…
View article: Enhanced Novelty approaches for Resource Allocation Model for Multi-Cloud Environment in Vehicular Ad-Hoc Networks
Enhanced Novelty approaches for Resource Allocation Model for Multi-Cloud Environment in Vehicular Ad-Hoc Networks Open
As the number of service requests for applications continues increasing due to various conditions, the limitations on the number of resources provide a barrier in providing the applications with the appropriate Quality of Service (QoS) ass…
View article: Effects of Synchronization Errors on Wavelet-based CR-OFDM Systems in Doubly Selective Fading Channels
Effects of Synchronization Errors on Wavelet-based CR-OFDM Systems in Doubly Selective Fading Channels Open
The Major Setback of a Multi-Carrier Modulation (MCM) is Synchronization Errors, which includes time, frequency and phase offset. Especially, Wavelet based MCM catches the eyes of researchers due to its flexibilities which are seen as one …
View article: Performance of MIMO FBMC-OQAM and MIMO OFDM-QAM under time Synchronization Errors in Perfect CSI and Imperfect CSI
Performance of MIMO FBMC-OQAM and MIMO OFDM-QAM under time Synchronization Errors in Perfect CSI and Imperfect CSI Open
The requirement of flexible allocation of available limited frequency resources led to rethink the possibilities to find an substitute to Orthogonal Frequency Division Multiplexing (OFDM) [1], which can also meet the necessities of future …
View article: Heterogeneous Approaches for Cluster based Routing Protocol in Vehicular Ad Hoc Network (VANET)
Heterogeneous Approaches for Cluster based Routing Protocol in Vehicular Ad Hoc Network (VANET) Open
Vehicular Ad Hoc Network (VANET) has materialized as a major research area for the last decade.Since the vehicular network does not have stable infrastructure the main focus remains on networking part, which is divided into clusters using …
View article: A Survey on Geographical Routing Strategies in VANET
A Survey on Geographical Routing Strategies in VANET Open
Vehicular Ad Hoc Network is an emerging technology nowadays which plays vital role in case of vehicular communication.It allows vehicles on the road to form network and communicate with each other without aid of any infrastructure.As VANET…
View article: A review on computational systems biology of pathogen–host interactions
A review on computational systems biology of pathogen–host interactions Open
Pathogens manipulate the cellular mechanisms of host organisms via pathogen-host interactions (PHIs) in order to take advantage of the capabilities of host cells, leading to infections. The crucial role of these interspecies molecular inte…