Kunal Devidas Gaikwad

Efficient IoT-Driven Smart Farming Framework Leveraging Multi-Scale Random Graph Diffusion Parallel Hybrid Networks for Accurate Crop Yield Prediction

Kunal Devidas Gaikwad, S. Sankara Narayanan

in (code pays fourni par la source)

Intelligent Farming System: IoT and Adaptive Machine Learning for Sustainable Agriculture

Kunal Devidas Gaikwad, Sankara Narayanan S, S. Alagumuthukrishnan

The combination of the Internet of Things (IoT) and Adaptive Machine Learning (AML) presents significant opportunities for precision agriculture by allowing real-time observation, flexible decision-making, and forecasting analyses. This study explores the development of an adaptive ML model for smart agriculture systems, …

in (code pays fourni par la source)

Real-Time Financial Fraud Detection with Autonomous Graph Neural Networks

Kunal Devidas Gaikwad, T.Gangadharan, R Prasanna Kumar, Zayd Ajzan Salami et autres

The sophistication of financial fraud has grown due to the continuous advancements in detecting financial fraud, which requires advanced detection mechanisms that are capable of real-time adaptation. Evolutionary fraud patterns pose challenges to rule-based and machine learning models such that these have …

in, iq (code pays fourni par la source)

From Sensors to Solutions: A Survey on IoT and Machine Learning in Modern Agriculture

Kunal Devidas Gaikwad, Sankara Narayanan S, S. Alagumuthukrishnan

In recent years, the convergence of Internet of Things (IoT) devices and Machine Learning (ML) algorithms has paved the way for precision agriculture. By leveraging IoT sensors and real-time data analysis through ML algorithms, farming practices can be optimized for water usage, …

in (code pays fourni par la source)

Integrated Sentiment and Emotion Analysis of the Ukraine-Russia Conflict Using Machine Learning and Transformer Models

Mohammad Hossein Amirhosseini, Nabeela Berardinelli, Kunal Devidas Gaikwad, Christian Uche Iwuchukwu et autres

gb (code pays fourni par la source)

Unveiling the Power of Hybrid Balancing Techniques and Ensemble Stacked and Blended Classifiers for Enhanced Churn Prediction

Kunal Devidas Gaikwad, Nabeela Berardinelli, Nadeem Qazi

gb (code pays fourni par la source)

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 …

Krishi Mitra: Crop and Fertilizer Recommendations System Using Machine Learning Algorithm

Vijay Mahadeo Mane, Akash Gajbhiye, Amisha, Chinmay Devidas Deshmukh et autres

in (code pays fourni par la source)