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109 articles for “neighbor”
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A Comprehensive Analysis of Classification Methods for Churn Prediction in Financial Services
Abstract: Persistent issues that affect long-term revenue in the banking sector include excessive client attrition. Customary churn models depend on measures related to customer satisfaction, which often result in low predictive accuracy due to their subjective nature. This study proposes an effective early warning model to address customer churn in financial services. Data is preprocessed through cleaning, one-hot encoding, Z-score normalization, and Min-max scaling. To handle class imbalance, the SMOTE algorithm …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 47–61 Read article
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Smart-Waste-Management-System
Abstract: The rapid urbanization and increasing waste generation pose significant challenges to traditional waste management systems, necessitating innovative solutions that integrate economic principles and management strategies. In order to enhance trash transportation and recycling procedures, this paper investigates the deployment of a Smart trash Management System that makes use of Internet of Things (IoT) components and machine learning algorithms. By applying economic principles such as cost-benefit analysis and resource allocation, and …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 2, 2025 · pp. 18–27 Read article
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NutriHeart with Chatbot
Abstract: Heart disease stands as one of the world's principal reasons for human deaths since it causes major preventable fatalities each year. Healthcare institutions currently explore machine learning (ML) integration for establishing new approaches toward predicting, and acting ahead of healthcare developments. NutriHeart presents an AI-based platform that accomplishes cardiovascular risk detection early and extends heart wellness by delivering customized nutritional and lifestyle recommendations. Using Support Vector Machines (SVM) along with …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 3, 2025 · pp. 22–34 Read article
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Development of Fast and Power Efficient Elevator
Abstract: The rapid urbanization and vertical expansion of cities have led to a surge in the construction of high-rise buildings, creating a growing demand for elevator systems that are not only fast but also energy efficient. As population density in metropolitan areas increases, the pressure on vertical transportation systems intensifies, highlighting the need for solutions that can handle high passenger traffic without compromising performance or sustainability. This study presents the development …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 2, 2025 · pp. 32–41 Read article
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Comparative Analysis of Supervised Learning Algorithms
Abstract: Supervised learning is a fundamental and widely used branch of machine learning in which models are trained on labeled datasets, meaning that each input is associated with a known output. Supervised learning algorithms develop predictive capability by understanding the mapping between input variables and corresponding output labels, enabling them to accurately forecast outcomes for previously unseen data. Due to this capability, supervised learning has found extensive applications across diverse domains …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 25–30 Read article
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The Effect of Spatial Distribution of Public Amenities on Residential Property Rental Value
Abstract: In major cities around the world, the rental value has indeed been increasing at an unprecedented rate because of the rising demand for residential properties in urban areas. Residential building characteristics, neighborhood characteristics, accessibility factors, and amenities are all factors that influence residential rental value. These amenities lead to rent differentials. The links that exist between residential property rental values and various physical and locational dwelling features, amenities, and so …
Published in International Journal of Land · Vol. 3, Issue 1, 2026 · pp. 28–37 Read article
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Assessing Urban Surface Runoff Management Using the SWAT Model, GIS, and the Rational Method: A Case Study of Karapakkam
Abstract: Urban surface runoff management encompasses strategies aimed at regulating rainwater flow, reducing urban flooding, enhancing groundwater recharge, and contributing to disaster risk mitigation for sustainable urban development. This study seeks to optimize surface runoff management in urban settings by using the soil and water assessment tool (SWAT) model integrated with geographic information systems (GIS) to minimize flood risks. The research focuses on the peak runoff in Karapakkam, a locality within …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 4, Issue 1, 2026 · pp. 37–48 Read article
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Revitalizing São Cristóvão: Integrating Industry, Commerce, and Community for a Sustainable Urban Future
Abstract: This paper introduces a comprehensive framework for the sustainable regeneration of São Cristóvão, a historically industrial district in Rio de Janeiro, South America, which presently demonstrates significant urban deterioration, socio-economic instability, and increasing environmental hazards. Through an interdisciplinary methodology integrating spatial analysis, ethnographic profiling, environmental assessment, and stakeholder engagement, the study develops a phased master plan aimed at transforming the neighborhood into a resilient, inclusive, and economically diverse urban environment. …
Published in International Journal of Urban Design and Development · Vol. 4, Issue 1, 2026 · pp. 58–68 Read article
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Predictive Analytics and Adaptive Learning: A Machine Learning Framework for Reducing Learning Gaps
Abstract: Most contemporary digital learning environments encounter persistent challenges when it comes to accurately identifying students who are at-risk of academic underperformance. These challenges often arise due to limited visibility in learners’ engagement levels and gaps in conceptual understanding, particularly during the early stages of a course. To address this issue, the present study proposes an early prediction framework that leverages comprehensive student-related data through the application of machine learning techniques. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 16–21 Read article
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Parallel Greedy Approach for Phylogenetic Tree Construction in the Context of Marine Species
Abstract: The rebuilding of phylogenetic trees for marine species shows major computing problems because of the massive genomic data and the huge biodiversity inherent in ocean ecosystems. Traditional phylogenetic methods are accurate but become more expensive when they are processing with thousands of marine taxa parallelly. This article shows a critical analysis of parallel greedy algorithms as an adaptable solution for large-scale marine phylogenetics. It examines the main principles of greedy …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 33–45 Read article
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Machine Learning-Based Quantification of Polymer Structure Property Relationships for Predictive Material Design
Abstract: Polymer structures exhibit complex, hierarchical arrangements that strongly influence macroscopic properties, yet consistent quantification remains challenging due to nonlinear interactions and limited unified modeling strategies. Existing approaches inadequately capture generalized structure–property mappings across diverse polymer systems. This research aims to establish a machine learning-based quantification model for polymer structure–property relationships to support predictive material design. A Polymer Structure Property Dataset of 5,000 polymer samples includes structural descriptors and experimentally measured …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 737–754 Read article
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Diabetes Risk Prediction from Survey Data Using Machine Learning Algorithms
Abstract: Diabetes mellitus represents one of the most significant global health challenges, affecting millions worldwide and leading to severe complications if left undiagnosed or poorly managed. Early detection and risk assessment are crucial for preventing the progression of this chronic condition. This research presents a comprehensive machine learning approach for predicting diabetes risk using survey-based health parameters. The study implements and compares four prominent classification algorithms: Logistic Regression, K-Nearest Neighbors (KNN), …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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Multivariant Disease Detection from Different Plant Leaves and Classification
Abstract: Agricultural growth is significant in Indian GDP which is based on yield of crops, quality of the plants and procedure of the plants taken. To maintain good quality of plant, the plant diseases should be identified and then given proper suggestions to farmers for specific fertilizers and pesticides to be used. The use of specific fertilizers or pesticides makes plant more health with good quality so that farmers can get …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 27–35 Read article
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A Study to Assess the Effectiveness of an Informational Booklet on Knowledge Regarding First Aid for Snake Bite Among People in Selected Rural Community Area of Kanpur Dehat, U.P.
Abstract: Snake bite is a common and frequently devastating environmental and occupational health problem, particularly in rural areas of tropical developing countries. Despite its significant contribution to morbidity and mortality, snake bite remains a neglected public health issue. Snake venoms contain a variety of proteins and peptide toxins with specific actions on different tissue receptors, making snake bite management clinically challenging. Immediate and appropriate first aid plays a crucial role in …
Published in International Journal of Community Health Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 34–56 Read article
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Deep Learning Based Detection and Classification of Brain Tumors Using MRI Images
Abstract: Brain tumor detection using magnetic resonance imaging (MRI) is a critical task in the early detection and treatment of brain tumors. Manual analysis of brain tumor detection using MRI is a tedious task that requires expertise in the field. Therefore, this study proposes a deep learning-based approach for brain tumor detection and classification using Convolutional Neural Networks (CNN). The proposed approach preprocesses the MRI image using normalization, resizing, and noise …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 Read article
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A Comprehensive Investigation of Bagging-Based Ensemble Methods for Improving Machine Learning Model Robustness
Abstract: Machine learning models such as Decision Trees, Logistic Regression, and K-Nearest Neighbors are widely used for classification tasks due to their simplicity and interpretability. However, these models often suffer from high variance, overfitting, and poor generalization when applied to real-world datasets, particularly those that are small, noisy, or imbalanced, as commonly encountered in healthcare, finance, and cybersecurity applications. To address these limitations, this research proposes a Bagging (Bootstrap Aggregating)-based ensemble …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 24–34 Read article
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An Overview of Electricity Generation by Solar & its Tracking System
Abstract: Sun-powered vitality is produced by daylight. It may be a renewable vitality source that’s not ecologically neighborly and never vanishes. Each hour, sufficient sun- oriented vitality reaches the soil to meet the world’s vitality needs for one year. Today’s era required to power each hour. This solar energy is generated for mechanical, commercial, residential, and other employment. You’ll be able effortlessly to extricate vitality from direct daylight. So, it is …
Published in Journal of Thermal Engineering and Applications · Vol. 9, Issue 3, 2022 · pp. 24–33 Read article
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Segments to Evaluate Remote Sensing Imagery
Abstract: AbstractSegmentation is scheme to rely accused formation by unconventional modeling. This is first step to increase resolution of as object specific formation. Petitioning to scale is algorithmic segmented binary pixel grouping between two subjectively heterotypic forms. Nevertheless noise free has favored grouping of pixels so as comparable to real object. Parameters for segment scale are typified shape like cube or circle, color, compactness and growth of image when subjected towards …
Published in Current Trends in Signal Processing · Vol. 9, Issue 3, 2019 · pp. 19–22 Read article
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Analysis on Link Prediction Algorithm for Social Network
Abstract: AbstractThe paper presents the analysis on link prediction algorithm for social network. Link prediction is one of the essential problems in computational social science. A principally general means to predict subsistence of unnoticed links is via structural similarity metrics, such as the number of common neighbors; node pairs with higher similarity are thus deemed more expected to be linked. There have been many algorithms to solve for the link prediction …
Published in Current Trends in Signal Processing · Vol. 10, Issue 1, 2020 · pp. 1–7 Read article
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DISEASE PREDICTION SYSTEM USING MACHINE LEARNING
Abstract: Machine learning (ML) is a rising field. It already plays an important role in many fields, with projects of all sizes showing its positive impact. One such use of machine learning algorithms is in the healthcare field. Medical facilities need to be improved in order to make better decisions about patient diagnosis and treatment options. In this paper, we attempt to use the performance of Machine learning equipment in health …
Published in Journal of Control & Instrumentation · Vol. 12, Issue 2, 2021 · pp. 14–18 Read article