A Research on Ensemble Deep Learning Techniques for Predicting Heart Diseases

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A Research on Ensemble Deep Learning Techniques for Predicting Heart Diseases

A Research on Ensemble Deep Learning Techniques for Predicting Heart Diseases DOI : 10.46335/IJIES.2024.9.1.3 Authors : Deepak Yashwantrao Bhadane , Dr. Indrabhan S. Borse Abstract – Accurate diagnosis is essential for early identification and effective treatment of heart disease, which is a significant worldwide public health issue. By using ensemble deep learning techniques, this effort […]

Deciphering Hyperspectral Image Classification: A Comprehensive Exploration

Deciphering Hyperspectral Image Classification: A Comprehensive Exploration DOI : 10.46335/IJIES.2024.9.2.14 Authors : Yogita H. Dhande, Pallavi P. Surwade, Hemraj Dhande Abstract – Hyperspectral imaging is a sophisticated technique that captures multidimensional images of objects by combining imaging and spectroscopic technologies. With hyperspectral imaging (HSI), we can explore both external and internal characteristics of various objects. […]

Deep Learning based Depression Estimation using Facial Expressions

Deep Learning based Depression Estimation using Facial Expressions DOI: 10.46335/IJIES.2024.9.2.1 Authors : Chhaya Nayak , Dr. Sachin Patel Abstract –The serious mental health condition of depression may greatly impact a person’s daily life. Chronic sorrow, lack of interest in once-enjoyed activities, weariness, changes in food or sleeping patterns, difficulties focusing, feelings of hopelessness, and other […]

Decentralized Brain Tumor Detection: Leveraging Federated Learning & CNN for Enhanced Accuracy and Privacy-A Review

Decentralized Brain Tumor Detection: Leveraging Federated Learning & CNN for Enhanced Accuracy and Privacy-A Review DOI : 10.46335/IJIES.2024.9.3.6 Authors : Mr.Jagdish F. Pimple, Dr.Mohit Agarwal, Mr. Sameer Kedar, Ms.Isha Bhomle, Ms.Nishita Thakare, Ms.Pratiksha Bowade Abstract: This study introduces innovative brain tumor diagnostic techniques utilizing federated learning and machine learning to develop a decentralized model that […]

Harnessing Machine Learning and Artificial Intelligence for Electrocardiogram Analysis: A Comprehensive Review

Authors : Pulkeshini Vishal Taksande, Abhinav Muley DOI : 10.46335/IJIES.2024.9.7.3 Article Link Abstract – The main focus of this paper is to review and analyze the various techniques used to analyze Electrocardiogram, ECG using different Machine Learning Techniques. Electrocardiogram is pivotal in the diagnosis and management of cardiovascular diseases, which is the leading cause of […]

Medicinal Leaf Identification Using Deep Learning

Authors : Jay Khapare , Dimple Kumar , Komal Bhende, Aarya Babhulkar, Prof.Roshan Kotkondawar DOI : 10.46335/IJIES.2024.9.8.14 Article Link Abstract: Identification of medicinal plants or leaves plays an important role in many fields such as medicine, agriculture and conservation. The routine process of plant identification is often time consuming and requires botanical knowledge. In recent years, […]

Advancing Breast Cancer Detection Through Thermal Imaging and Machine Learning: A Comprehensive Review of Techniques and Applications

Advancing Breast Cancer Detection Through Thermal Imaging and Machine Learning: A Comprehensive Review of Techniques and Applications Authors : Vishakha Dubey, Dr. Shanti Rathore, Dr. Rahul Gedam DOI : 10.46335/IJIES.2025.10.7.17 Abstract – Breast thermography proves to be an evolving diagnostic support method that uses infrared imaging for vascular and metabolic change detection in breast cancer […]

Effective Ensemble Deep Learning Approach to Coronary Heart Disease Prediction

Effective Ensemble Deep Learning Approach to Coronary Heart Disease Prediction Authors : Deepak Yashwantrao Bhadane, Prof. Dr. Indrabhan S. Borse, Prof. Dr. Balveer Singh DOI :10.46335/IJIES.2025.10.6.8 Abstract – Cardiovascular disease is an important global challenge, and timely identification along with effective treatment relies on the accurate diagnosis of the condition. This work seeks to increase […]

Deep Reinforcement Learning for Face Anti-Spoofing

Deep Reinforcement Learning for Face Anti-Spoofing Authors : Saidur Rahman, Sahil Kumar, Dr M.Sujitha, P.Sudarsan DOI : 10.46335/IJIES.2025.10.8.18 Abstract – Spoofing detection has become a crucial and essential application for verifying security breaches. The Face Anti-Spoofing issue has made significant progress in recent years. This research addresses the problem of detecting spoofing images from unknown […]

Literature Survey on Intelligent Rainfall Prediction Systems Using Advanced Machine Learning Algorithms

Literature Survey on Intelligent Rainfall Prediction Systems Using Advanced Machine Learning Algorithms Authors : Dr.M.V.Bramhe, Rushab Katekhaye, Manthan Raut, Sharwari Sonulkar,Yash Dhande, Mrs. Sangita Rajankar DOI : 10.46335/IJIES.2025.10.5.3 Abstract – Rainfall prediction is crucial to efficient water resource management, agriculture, and catastrophe avoidance. Statistical models have gained popularity, yet machine learning approaches are progressively boosting […]

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