Dipali Nilesh Dhake

Novel 2-D Wavelet-Based Spectral-Temporal Representation for Deep Learning Based Stress Detection Using EEG Signal

Dipali Nilesh Dhake, Yogesh Suresh Angal

Simulation and Analysis of Solar-Powered Electric Golf Cart

Sarthak Shewalkar, Supriya Yadav, Dipali Nilesh Dhake

The research uses MATLAB Simulink to simulate and analyze solar-powered electric golf carts to evaluate their sustainability, efficiency, and performance. Using Simulink, a thorough simulation model includes all necessary elements and assesses performance in various operational and environmental scenarios. According to the …

Comprehensive Analysis of Solar-Powered Electric Carts

Sarthak Shewalkar, Supriya Yadav, Dipali Nilesh Dhake

This study proposes an innovative way to reduce transportation's negative environmental effects by combining electric automobile technology with solar-powered electric golf carts. Our approach improves operating effectiveness and lowers greenhouse gas emissions by utilizing advances in lithium-ion batteries, solar panels, permanent magnet …

EEG Features Selection by Using Tasmanian Devil Optimization Algorithm for Stress Detection

Dipali Nilesh Dhake, Yogesh Suresh Angal

Implemented OBL-DE assisted Tasmanian Devil Optimisation for Selecting the Optimal Features using EEG Signal for Stress Detection

Yogesh Suresh Angal, Dipali Nilesh Dhake

Implemented OBL-DE assisted Tasmanian devil optimisation for selecting the optimal features using EEG signal for stress detection

Dipali Nilesh Dhake, Yogesh Suresh Angal

This article introduces a stress detection framework called opposition learning differential evaluation assisted Tasmanian devil optimisation (OBLDETO)-based hybrid classifier for stress detection (OBLDETO-HC) using EEG signal. The model includes four stages like: 1) pre-processing; 2) feature extraction; 3) feature selection; 4) classification. …

Neural Stress Mapping with Machine Learning from EEG Data

Meenakshi Raghupathy, Sakshi Salunkhe, Shweta Dhende, Kishor Barasu Bhangale et autres

Dielectric modulated organic thin film transistor trench biosensor for label‐free detection: Modeling and simulation analysis

Sheetal Umesh Bhandari, Triveni D. Dhamale, Rupali Ramdas Kawade, Dipali Nilesh Dhake et autres

Abstract In the present paper, a biosensor is proposed with a split gate dielectric modulated bottom gate top contact organic thin‐film transistor. A cavity is marked below gate metal for enhancing sensitivity in biomedical applications. The organic thin‐film transistors‐based biosensors have shown …

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A Comparative Analysis of EEG-based Stress Detection Utilizing Machine Learning and Deep Learning Classifiers with a Critical Literature Review

Dipali Nilesh Dhake, Yogesh Suresh Angal

Background: Mental stress is considered to be a major contributor to different psychological and physical diseases. Different socio-economic issues, competition in the workplace and amongst the students, and a high level of expectations are the major causes of stress. This in turn …

Deep Learning-based Analysis of Affective Computing for Marathi Corpus

Kishor Barasu Bhangale, Dipali Nilesh Dhake, Rupali Ramdas Kawade, Triveni D. Dhamale et autres

Speech Emotion Recognition (SER) has a broad variety of potential applications, including improving human-computer interaction in virtual reality and gaming environments, improving the identification and monitoring of mental health conditions, and improving the accuracy of chatbots and speech-based assistants. It must contend …

LSTM Algorithm for the Detection of Mental Stress in EEG

Dipali Nilesh Dhake, Kunal Devidas Gaikwad, Shreyas Gunjal, Sanket Walunj

Stress is a prevalent mental health issue that can lead to severe consequences if not addressed properly. In recent years, electroencephalography (EEG) signals have gained attention for stress detection. However, most existing approaches rely on pre-processed features, which can be time-consuming and …

FPGA‐Based Automatic Speech Emotion Recognition Using Deep Learning Algorithm

Rupali Ramdas Kawade, Triveni D. Dhamale, Dipali Nilesh Dhake

There is increasing research in the field of speech emotion recognition (SER) due to its applicability in human computer interfaces (HCI). The literature reviewed in this area proposed different systems to recognize the emotional status of person through speech, and their studies …