Vignana Jyothi Institute of Management

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...

A PINN framework for the prediction of thermo-viscous flows between extended flat plates embedded in a porous slab with suction/injection

A powerful framework Physics-Informed Neural Networks (PINNs) provides solutions of complicated engineering challenges by incorporating governing physical theories with noisy or inadequate data. The present study relates PINNs to predict thermo-viscous flows between extended flat...

Tailoring Microwave-Sintered Zinc Hybrid Nanocomposites for Orthopaedic Implants: Insights into Mechanical Strength, Microstructure, and Biocorrosion Resistance

The current study focuses on developing Zn–1.5Mg-based hybrid nanocomposites with varying concentrations of graphene (1–2.5 wt%) and hydroxyapatite (0.5–2 wt%) via microwave sintering. The objective of the work is to improve the mechanical strength, corrosion resistance, and micr...

Intelligent energy management in renewable-powered microgrid using Z-dualflux converter and RBFNN control

In this research, a sophisticated intelligent energy management framework that integrates wind, solar and battery energy storage devices is proposed for a grid-connected system. A Z-Dual Flux (Z-DF) converter which enhances the Photovoltaic (PV) system’s voltage with increased vo...

A minimalist 1-lead ECG beat classification without handcrafted morphological feature extraction for inter-patient, edge-oriented diagnosis

The conventional machine learning models are relying on handcrafted feature extraction. These methods require domain expertise and increase computational cost, which limits their implementation on resource-constrained wearable edge device settings. To investigate whether ECG beat...

Development and performance evaluation of wollastonite–fly ash geopolymer bricks with embedded IoT sensors for strength monitoring

Due to the growing need for green or intelligent building materials, the development of new sustainable materials to replace traditional fired clay bricks has gained traction. In this research, the manufacture of geopolymer bricks from the mixture of fly ash and wollastonite, alo...

Improved deep joint segmentation and deep hybrid architecture for breast cancer diagnosis with improved pattern extractors

Cancer remains one of the primary contributors to illness and mortality among women globally. One in five new cases of cancer in the world occurs in the breast. The use of mammography as a radiological diagnostic tool for breast abnormalities resulted in a notable reduction in br...

A data-driven Kalman filter–integrated deep learning framework for optimized fault detection in lithium-ion batteries

Electric vehicles (EVs) and energy storage systems are prone to critical safety hazards associated with lithium-ion battery failures. The current fault detection tools have a fundamental trade-off: Model-based approaches cannot support aging-dependent dynamics, whereas deep learn...

Flexible PDMS/La0.7Sr0.3MnO3/MWCNT Composite Thin Films for Multifunctional Temperature and Magnetic Sensing Electronic Skin

Abstract The development of multifunctional electronic skin (e-skin) requires materials that combine mechanical flexibility with responsiveness to multiple stimuli. In this work, a flexible polydimethylsiloxane (PDMS)/La0.7Sr0.3MnO3 (LSMO)/multiwall carbon nanotube (MWCNT) compos...

Energy and link expiration time aware MPR selection based modified OLSR protocol for UAV ad hoc networks

Flying Ad-hoc Network (FANET) is a self-configured highly dynamic decentralized wireless ad-hoc network, composed of multiple Unmanned Aerial Vehicles (UAVs). These networks find applications in modern civilian and military missions due to their capability for rapid deployment, a...

Integrated performance and carbon emission assessment of self-compacting concrete incorporating calcined zeolite and glass powder

The process of manufacturing cement is significantly responsible for causing environmental pollution and carbon dioxide emissions, which require researchers to find environmentally friendly concrete materials. This paper focuses on examining the mechanical performance and carbon...