ARCHIVE

Face Recognition Based Real Time Attendance System Using Machine Learning

Authors : Prof. Ansar Sheikh , Nivedita Sanyal ,Payal Ninawe,Sanjana Waghe,Shruti Waghmare DOI : 10.46335/IJIES.2024.9.8.19 Abstract— In contemporary educational and workplaces are changing quickly these days, so it’s important to have an easier way to track who shows up. This study explores a new system that uses special face-  scanning technology to automatically take attendance. […]

READ MORE

Review of Sign Language Recognition Methods to Support the Disabled

Authors : Prof. N R. Chopde , Miss. Janvi Datir , Miss. Ishwari Tote , Miss. Priyanka Kakad , Mr. Ajay Warthi DOI : 10.46335/IJIES.2025.10.1.1 Abstract – People with disabilities have difficulty in communicating, social commerce, prepossessions and repetitious behaviors. The situation gets parlous when these impaired people left alone freely in the outside world. […]

READ MORE

Phishing Website Detection Using Machine Learning

Authors :Pratiksha S. Patil , Nilesh Vani DOI : 10.46335/IJIES.2025.10.9.8 Abstract – The growing prevalence of phishing assaults, especially in online banking and e-commerce, calls for the creation of reliable detection systems. A thorough analysis of the use of machine learning methods for phishing website identification is presented in this research. By leveraging supervised classification […]

READ MORE

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 systems focus on responding after a disaster happens, rather than predicting it […]

READ MORE

Machine 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 (GLCM) that helps a lot in increasing the classification accuracy. […]

READ MORE

Predicting 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 shows a machine learning (ML) approach for diagnosing […]

READ MORE

A 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 Deep Learning (DL) have transformed the automatic identification and categorization of CVDs from ECG images. This […]

READ MORE

An 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 necessarily distributed and resource-constrained nature. Addressing this need, this paper critically assesses machine learning and deep learning models […]

READ MORE

An 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 consider the optimization techniques, scalability, privacy preservation, and adaptability of […]

READ MORE

IoT 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 essential parameters like soil pH, moisture, and water levels. For instance, water volume […]

READ MORE