Proceedings of the International Conference on Recent Trends in Intelligent Computing, Manufacturing, and Electronics (rTIME 2025)

123 authors
Acharya, Debiprasad Priyabrata
Asynchronous FIFO in FPGA for Video Acquisition in IoT Based Systems
Ahmad, Gufran
AI-Enhanced FPGA: License Plate Detection for Accident Evidence Collection
Ahmed, Irfan
A Comparative Study of Space Vector Pulse Width Modulation Techniques for Modular Multilevel Converters
Askari, Syed Sadique Anwer
AI-Enhanced FPGA: License Plate Detection for Accident Evidence Collection
Babu, S. Rajesh
Parkinson’s Disease Detection by Using Machine Learning
Bala, Indu
Automated System Organ Class Classification for Pharmacovigilance Using BioBERT and GPT Frameworks on Efavirenz Adverse Events
Balani, Lakshay
Asynchronous FIFO in FPGA for Video Acquisition in IoT Based Systems
Batra, N. K.
Fabrication and Tribological Characteristics of Biodegradable Fish Scale Reinforced Epoxy Composite
Batra, Neel Kamal
Experimental Investigations to Study the Effect of TIB2 and ZRB2 on the Density of a Novel AL6063 Composite
Bodhe, Yogesh
Comparative Analysis of Quantum Intermediate Representation Generation Methods
Bokil, Aary
Comparative Analysis of Quantum Intermediate Representation Generation Methods
Burman, Ravi Kumar
VR Vidya: Transforming Traditional Science Education with Virtual Laboratories
Channawar, Samiksha
Comparative Analysis of Quantum Intermediate Representation Generation Methods
Daniel, Victor
EEG Signal Classification: From Brain Activity to Text Representation
Dayal, Sahil
Experimental Investigations to Study the Effect of TIB2 and ZRB2 on the Density of a Novel AL6063 Composite
Devender, Voodara
Parkinson’s Disease Detection by Using Machine Learning
Dharashivkar, Aditya
Comparative Analysis of Quantum Intermediate Representation Generation Methods
Dhokey, Narendra B.
Performance Evaluation of Photovoltaic, Thermoelectric and Direct Cooling based Hybrid for Enhancement in Efficiency
Dikshit, Iti
Fabrication and Tribological Characteristics of Biodegradable Fish Scale Reinforced Epoxy Composite
Gaikwad, Abhijit
Maximizing Operational Flow in Multi-Component Processing
Gaur, Jatin
Design and Development of Weed Detection Mechanism in Wheat using AI
Gaur, Jatin
Design and Development of System for Fruit Detection and Counting
Ghosh, Pijush Kanti
Multimodal Machine Learning Framework Combining EEG and Physiological Signals for Mental Health Diagnosis: A Review
Goyal, Nishant
Multimodal Machine Learning Framework Combining EEG and Physiological Signals for Mental Health Diagnosis: A Review
Gupta, Anushk
AI-Enhanced FPGA: License Plate Detection for Accident Evidence Collection
Gupta, Rahul Dev
Machine Learning Perspective of Predictive Modelling for Additive Manufacturing
Islam, Aminul
Exploring the New Era of Post-MOSFET Devices for High-Speed and Computational Performance
Kapoor, Aman
Identification of Schizophrenia from other Major Psychiatric Disorders using Machine Learning Techniques
Karsh, P. K.
Investigating the Impact of Nanofillers on the Fatigue Performance of Glass Fiber-Reinforced Epoxy Composites
Kaur, Eknoor
Design and Development of Weed Detection Mechanism in Wheat using AI
Khatoon, Naghma
A Lightweight Cryptography and Fuzzy C-Means Clustering Approach for Energy Efficiency in WSNs and MANETs
Koley, Kalyan
Exploring the New Era of Post-MOSFET Devices for High-Speed and Computational Performance
Konar, Arpan
Asynchronous FIFO in FPGA for Video Acquisition in IoT Based Systems
Kotkar, Mahesh
Comparative Analysis of Quantum Intermediate Representation Generation Methods
Kumar, A. Udaya
EEG Signal Classification: From Brain Activity to Text Representation
Kumar, Abhishek
VR Vidya: Transforming Traditional Science Education with Virtual Laboratories
Kumar, Abhishek
An Interactive EEG Classification System for Seizure, Mental Illness, and Normal Brain Activity with Prescription Guidance
Kumar, Abhishek
An Interactive EEG Classification System for Seizure, Mental Illness, and Normal Brain Activity with Prescription Guidance
Kumar, Aditya
Ensemble Multiview Feature Partitioning for DNA Sequence Classification
Kumar, Arun
Fabrication and Tribological Characteristics of Biodegradable Fish Scale Reinforced Epoxy Composite
Kumar, Ashwini
A Systematic Review & Experimental Benchmark of SOC Estimation Methods for EV Applications
Kumar, Deepak
An Interactive EEG Classification System for Seizure, Mental Illness, and Normal Brain Activity with Prescription Guidance
Kumar, Mukesh
Exploring the New Era of Post-MOSFET Devices for High-Speed and Computational Performance
Kumar, Mukesh
A Systematic Review & Experimental Benchmark of SOC Estimation Methods for EV Applications
Kumar, Nishant
Compact Low-Profile Circularly Polarized Metasurface Antenna for 6 GHz IoT Applications
Kumar, Prashant
Quantum–Classical Hybrid System for Real-Time Accident Detection
Kumar, R. R.
Investigating the Impact of Nanofillers on the Fatigue Performance of Glass Fiber-Reinforced Epoxy Composites
Kumar, R. Sravanth
EEG Signal Classification: From Brain Activity to Text Representation
Kumar, Rakesh
Multimodal Machine Learning Framework Combining EEG and Physiological Signals for Mental Health Diagnosis: A Review
Kumar, Sandhir
Identification of Schizophrenia from other Major Psychiatric Disorders using Machine Learning Techniques
Kumar, Shubham
Ensemble Multiview Feature Partitioning for DNA Sequence Classification
Kumar, Sunil
Polymer Composites- An Overview and Recent Advancements
Kumar, Sunil
Study of Hydro-Climatic changes and Anthropogenic Activities on Water of Subarnarekha River of Jamshedpur District, Jharkhand, India
Kumari, Madhu
Peer-Review Statements
Kumari, Madhu
A Systematic Review & Experimental Benchmark of SOC Estimation Methods for EV Applications
Kumari, Madhu
AI-Enhanced FPGA: License Plate Detection for Accident Evidence Collection
Kumari, Madhu
Closed Loop Control of Switched Boost Network Inverter Using Modified PWM Technique for PV Applications
Kumari, Madhu
Identification of Schizophrenia from other Major Psychiatric Disorders using Machine Learning Techniques
Kumari, Momita
Multimodal Machine Learning Framework Combining EEG and Physiological Signals for Mental Health Diagnosis: A Review
Kumari, Priya
Polymer Composites- An Overview and Recent Advancements
Lal, Saurabh
Closed Loop Control of Switched Boost Network Inverter Using Modified PWM Technique for PV Applications
Liu, Siying
Automated System Organ Class Classification for Pharmacovigilance Using BioBERT and GPT Frameworks on Efavirenz Adverse Events
Mahato, Shalini
Peer-Review Statements
Mahato, Shalini
Multimodal Machine Learning Framework Combining EEG and Physiological Signals for Mental Health Diagnosis: A Review
Mahato, Shalini
Identification of Schizophrenia from other Major Psychiatric Disorders using Machine Learning Techniques
Mahto, Chhotelal
An Interactive EEG Classification System for Seizure, Mental Illness, and Normal Brain Activity with Prescription Guidance
Makwana, Dipesh
Cardiovascular Risk Prediction in Indian Youth Using Hybrid CNN–LSTM Approach with Feature Augmentation
Manas, Mridul
Quantum–Classical Hybrid System for Real-Time Accident Detection
Manasa, Sogi
Identification of Medicinal Plants using Machine Learning Algorithms
Meena, Vishal
Identification of Schizophrenia from other Major Psychiatric Disorders using Machine Learning Techniques
Mishra, Pavan
Design and Development of System for Fruit Detection and Counting
Mohanavel, Adithya
Development and Strategic Planning for the Eagle Knights Robotic Soccer Team: Aiming for RoboCup 2020
Mondal, Subhasish
Identification of Medicinal Plants using Machine Learning Algorithms
Pal Singh, Ravinder
Peer-Review Statements
Pandey, Anuj
Identification of Protein Complexes from PPI Network Using Ensembling Approach
Pandey, Anuj K.
A Comparative Study of Space Vector Pulse Width Modulation Techniques for Modular Multilevel Converters
Pandey, Muskan
VR Vidya: Transforming Traditional Science Education with Virtual Laboratories
Patnaik, Lokeswar
Polymer Composites- An Overview and Recent Advancements
Pavithra, R. S.
EEG Signal Classification: From Brain Activity to Text Representation
Pawar, Atharv
Comparative Analysis of Quantum Intermediate Representation Generation Methods
Poddar, Vaishali S.
Performance Evaluation of Photovoltaic, Thermoelectric and Direct Cooling based Hybrid for Enhancement in Efficiency
Prabhakar, Prashant
Ensemble Multiview Feature Partitioning for DNA Sequence Classification
Prasad, Ravi Kant
An Interactive EEG Classification System for Seizure, Mental Illness, and Normal Brain Activity with Prescription Guidance
Rai, Mritunjay
Design and Development of Weed Detection Mechanism in Wheat using AI
Rai, Mritunjay
Design and Development of System for Fruit Detection and Counting
Raj, Aman Kumar
A Lightweight Cryptography and Fuzzy C-Means Clustering Approach for Energy Efficiency in WSNs and MANETs
Rana, Rishi Singh
Quantum–Classical Hybrid System for Real-Time Accident Detection
Ranjalkar, Varsha
EEG Signal Classification: From Brain Activity to Text Representation
Ravidas, Vikash Kumar
VR Vidya: Transforming Traditional Science Education with Virtual Laboratories
Ravidas, Vikash Kumar
An Interactive EEG Classification System for Seizure, Mental Illness, and Normal Brain Activity with Prescription Guidance
Rawat, Vijendra Singh
Quantum–Classical Hybrid System for Real-Time Accident Detection
Reddy, A. Mallikarjuna
EEG Signal Classification: From Brain Activity to Text Representation
Rodrigues, Joel
Peer-Review Statements
Rout, R. K.
Investigating the Impact of Nanofillers on the Fatigue Performance of Glass Fiber-Reinforced Epoxy Composites
Sarkar, Saurabh
Identification of Medicinal Plants using Machine Learning Algorithms
Saxena, Abhishek Kumar
Design and Development of Weed Detection Mechanism in Wheat using AI
Saxena, Abhishek Kumar
Design and Development of System for Fruit Detection and Counting
Sharma, Pooja
A Comparative Study of Space Vector Pulse Width Modulation Techniques for Modular Multilevel Converters
Sharma, Pooja A.
Identification of Protein Complexes from PPI Network Using Ensembling Approach
Sharma, Sameer
Machine Learning Perspective of Predictive Modelling for Additive Manufacturing