Review Paper On Disaster Prediction and Monitoring System Using Machine Learning Algorithms Authors : Vidya Pardeshi, Dr. H. T. Ingale , Dr. Anilkumar Vishwakarma, Dr. I.S Jadhav , Dr. V. D Chaudhari DOI : 10.46335/IJIES.2025.10.7.18 Abstract – Natural disasters like floods, earthquakes, and landslides can cause massive damage and loss of life. Many traditional disaster management […]
READ MOREMachine Learning-Driven Identification of Cotton Leaf Diseases for Precision Agriculture Authors : Tushar Mohite Patil , Sanjay Pandey2, Ravindra Duche DOI :10.46335/IJIES.2025.10.7.12 Abstract – In this study, we propose a machine learning-based method for automatic detection of cotton leaf diseases based on Random Forest classifier. Other features extracted are color based (RGB) and texture based […]
READ MOREPredicting Chronic Kidney Disease with Machine Learning Algorithms Authors: Jayesh Sanjay Patil ,Nilesh Vani DOI : 10.46335/IJIES.2025.10.6.14 Abstract – Chronic Kidney Disease (CKD) is a progressive, irreversible condition distinguish by a gradual decline in kidney functions, often remaining asymptomatic until advanced stages. Early detection is essential for improving patient outcomes and prolonging survival. This study […]
READ MOREA Review of Machine Learning and Deep Learning Techniques for Identifying Cardiovascular Disease in ECG Images Authors :Ms.Shraddha R. Mundada , Mr.Prashant Shimpi DOI : 10.46335/IJIES.2025.10.6.2 Abstract –Globally Cardiovascular diseases (CVDs) rank among the top causes of death. Electrocardiogram (ECG) readings provide vital information necessary for diagnosing heart ailments. Techniques in Machine Learning (ML) and […]
READ MOREAn In-depth Review of Machine Learning & Deep Learning Models for Enhancing Security and Scalability in Edge Computing Authors : Mr. Pankaj S. Wankhede , Ganesh Khekare , Dr. Amitabh Wahi DOI : 10.46335/IJIES.2025.10.8.20 Abstract: The current reality is very fast-paced edge computing that shortly will be demanding robust security and scaling solutions for its […]
READ MOREAn Iterative Systematic Analytical Review of Modern Intrusion Detection Systems Authors : Rahul V. Bambodkar, Amitabh Wahi, Ganesh Khekare DOI : 10.46335/IJIES.2025.10.8.19 Abstract: With the increasing dependence on cloud computing and Internet of Things (IoT) environments, data integrity, confidentiality, and availability become significantly larger issues. The reviews of the existing IDSs have often failed to […]
READ MOREIoT and AI in Agriculture: Enhancing Productivity and Optimizing Resources – A Review Author : Suvarna Girase , Dr. Nilesh Choudhary DOI : 10.46335/IJIES.2025.10.8.6 Abstract –IoT (Internet of Things) technologies are essential to supplying the world’s expanding food demand, and the change in farming methods has brought along both benefits and challenges. IoT sensors monitor […]
READ MORESmart College System Using AI Authors : Pawar Rahul , Rathod Rahul, Ingale Kunal , Patil Kunal , Prof. Bhoir Swati DOI: 10.46335/IJIES.2025.10.8.4 Abstract – Smart College System to enhance communication, information dispersion, and virtual literacy gests within educational institutions. The system integrates four main modules: Voice Assistant, Chatbot, Virtual Classroom, and Admin Module. The […]
READ MOREWater Energy Audit and Consumption Prediction Using IOT and Machine Learning Authors : Mitesh P Sapkale , Hemraj V. Dhanade, Dr. Hemant T. Ingale,Dr. Anilkumar Vishwakarma, Dr. Ishwar Jadhav DOI :10.46335/IJIES.2025.10.4.8 Abstract – Water, a vital resource for both human survival and industrial processes, faces increasing pressure due to population growth, climate change, and over-exploitation. […]
READ MORELiterature 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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