Abstract: Wireless Sensor Networks (WSNs) face unique security threats during data collection and transmission. DoS attacks are common on WSNs and can target all protocol layers. A WSN-specific DoS Intrusion Detection System (DDS) is proposed…
Abstract: As the number of Internet of Things (IoT) devices grows, spectrum is limited, making wireless networking essential. In remote or critical healthcare infrastructure, uninterrupted communication between the macro base station and IoT devices or…
Abstract: Battery energy drain causes WSN node faults. Data aggregation is widely used to conserve energy, but aggregator nodes can drain batteries. When an aggregator/intermediary node in a data aggregation tree fails, its child nodes…
A Novel Approach for Introducing Cluster Size Reduction and Diversity into an Optimized Ensemble Classifier Abstract: This paper introduces a novel method for creating an optimized ensemble classifier by addressing the challenge of class imbalances….
Fast and Robust Representative Selection from Manifolds Using a Multi-Criteria Approach Abstract: The problem of representative selection involves extracting informative exemplars from large datasets. Existing methods often struggle to handle non-linear data structures, sample concise…
Real-Time Matrix Retrieval Using a High-Performance Index Abstract: The technique of “embedding” in machine learning has greatly influenced data representation, enabling the representation of various real-world objects using matrices, such as words in documents, images,…
Crossing-City POI Recommendations Using a Deep Neural Network Abstract: With the increasing popularity of location-aware devices, such as smartphones, a vast amount of location-based social media data, including check-ins, is being generated. This has sparked…
A BP Neural Network Based Recommender Framework with Attention Mechanism ABSTRACT: Recommender systems have been enhanced with deep neural networks (DNNs) to improve prediction accuracy through nonlinear representation learning. However, DNNs often come with high…
Machine Learning Projects with Source Code: Approach Source code projects teach machine learning. Ameerpet, an Indian IT training institute, provides students with source code for machine learning projects to explore new trends and techniques. Comprehensive…
Innovative Engineering Machine Learning Projects at Ameerpet Innovation drives machine learning and other technological advances. Indian IT training institute Ameerpet encourages students to work on creative machine learning projects to improve their critical thinking and…
Advanced Machine Learning Project Guidance New methods and technologies are developed in machine learning. Advanced machine learning projects require strong foundational concepts and the ability to apply them in complex scenarios. Indian IT training institute…
Machine Learning Projects Guide for Students Python is a popular machine learning programming language. It’s simple and has many machine learning libraries and frameworks. Indian IT training institute Ameerpet provides a comprehensive guide for Python…
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