Jawaharlal Nehru Technological University, Kakinada

An integrated framework for breast cancer diagnosis using adaptive DeepLabv3+ for segmentation and attention-based multiscale EfficientNetB7 for classification

Breast cancer is the primary health concern for women around the world. An advanced deep learning mechanism is proposed in this work for recognizing breast cancer disease. The proposed model initially processes image collection, where significant tomography images are gathered fr...

Edge‐Based Information‐Centric Networking for Enhanced Message Discrimination in Vehicular Ad‐Hoc Networks

ABSTRACT Vehicular Ad Hoc Networks (VANETs) are central to Intelligent Transportation Systems (ITS), but practical deployment remains constrained by communication latency, scalability, and privacy requirements. This study develops an edge‐based Information‐Centric Networking (ICN...

Fuzzy-logic enhanced internet of things model for uncertainty-adaptive medical image segmentation

Deep learning (DL) models for brain tumour segmentation (BTS) typically produce a fixed decision boundary and do not allow the uncertainty they estimate to impact the segmentation decision (SD). This work presents a FUZIONet-Med: A Fuzzy Uncertainty-Adaptive IoT Edge Intelligence...

Binary Mixtures of 4-acetylpyridine and 4-n-alkyloxybenzoic Acids (4Ac.Py:nOBA): Investigations on Mesomorphism

Abstract The induction and stability of mesomorphism in new binary mixtures capable of forming intermolecular hydrogen-bonding (HB) interactions were investigated. The mixtures were prepared by treating 4-acetylpyridine, a nonmesogenic liquid, with mesogenic 4- n -alkyloxybenzoic...

Cross-environment transfer learning for robust mmWave path loss modeling in 6G wireless networks

Accurate millimeter wave (mmWave) and sub-terahertz (sub-THz) path loss modeling is essential for reliable deployment of sixth-generation (6G) wireless networks, yet remains challenging due to severe cross-environment variability, blockage sensitivity, limited measurement data, a...

Evolution of Battery Thermal Management Systems in Electric Vehicles: Advancements in Technologies, Models, and Future Perspectives

Abstract Batteries, especially lithium-ion, are rated best for the storage of energy for commercial electric vehicles (EVs) because of their higher energy density, life cycle, and quick charging features. These benefits are excellent candidates for satisfying the modern energy re...

Mapping disappearance: spatial analysis of vulnerable coastal destinations

Abstract Many coastal regions around the world face increasing risks from both natural and anthropogenic drivers, including climate change, rising sea levels, and rapid, unauthorized urbanization. This study presents an integrated geospatial approach to evaluate the coastal vulne...

Dynamic Evacuation Route Planning for Flood-Prone Coastal Odisha Using GIS and Least-Cost Path Analysis

Objectives: To evolve suitable approach for developing dynamic flood evacuation plans to overcome the shortcomings of traditional static evacuation planning in the studied area. Method: Due to its high vulnerability to flooding and storm surges of the Baitarani River, and because...

Ioc-Mldroid: a Hybrid Approach for Detection of Android Based Malicious Applications Using Indicators of Compromise (Iocs) and Machine Learning

Android operating system has taken over the mobile ecosystem across the world and thus is a prime target of more advanced malware that uses its ability to obfuscate, dynamically load code, encrypted communications and even environment aware evasion behaviors. These properties sev...

Wearable neural biosensors for early detection of neurodegenerative diseases

Neurodegenerative diseases, which include Alzheimer’s disease, Parkinson’s disease, and amyotrophic lateral sclerosis, represent a growing worldwide health burden that can be attributed to the ageing of the population and the lack of effective modalities of early diagnosis. Conve...