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203 articles for “deployment models”
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Real-Time Browser-Based Early Warning System for Cyberbullying Detection in Online Platforms
Abstract: The rise in social networking through internet-based communication tools, Instagram, and YouTube, to name a few, significantly increases the risk of cyberbullying, thereby increasing psychological trauma on users, especially children, through adverse emotional states like anxiety, depression, etc. For a long time, researchers have been enhancing detection tools to counter cyberbullying, but their ability to detect only after the fact, along with limited support for English-based architecture, is a major …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 09–15 Read article
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BLOCKCHAIN-BASED DIGITAL ASSETS MANAGEMENT (CASE OF DECENTRALIZED AUTONOMOUS ORGANIZATIONS)
Abstract: The advent of Web 3.0 and the rise of decentralized applications (DApps) are reshaping the very fabric of the Internet. Gone are the days of centralized control, as Web 3.0 empowers users with greater privacy, security, and ownership over their data. Web 3.0 represents a paradigm shift from Web 2.0, which primarily relied on centralized platforms and intermediaries. The Blockchain technology is really important for the Web 3.0. It makes …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 2, 2026 Read article
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Cloud-based Application Development and Optimization
Abstract: As cloud computing powers today’s applications, optimizing cloud-based development is crucial to achieve performance, cost effectiveness, and scalability. This research focuses on enhancing the design, deployment, and maintenance of cloud applications, tackling challenges in resource management, scalability, and resilience. We specifically explore dynamic resource allocation algorithms that use predictive analytics for auto-scaling based on workload variations, aiming to cut costs while preserving high performance. The study also investigates cross-cloud optimization …
Published in Journal of Open Source Developments · Vol. 12, Issue 1, 2025 · pp. 37–42 Read article
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Polymers In Low-Resource Biomedical Innovation: Maker Labs, DIY Devices and Ethics
Abstract: The low-cost biomedical devices have been prototyped and sometimes put into practice by maker laboratories and community "DIY" (Do-It-Yourself maker) innovators due to the fast-growing availability of polymer-based fabrication (desktop 3D printing, laser cutting, and simple molding). Nowadays, polymers such as PLA, PETG, TPU, and PEEK are used in a wide range of applications, including surgical guides and anatomical models, as well as assistive technology and diagnostic housings. Such innovations …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 108–119 Read article
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Performance Analysis of Deep CNN Architectures
Abstract: A Convolutional Neural Network (CNN) is an artificial neural network renowned for its remarkable ability to handle large image datasets effectively, particularly excelling in tasks such as image recognition and classification. The fundamental structure of a CNN relies on mathematical convolution operations, comprising essential components such as convolutional layers, activation functions, pooling layers, and fully connected layers. These components work synergistically to extract and learn hierarchical features from input data, …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 2, 2024 · pp. 1–8 Read article
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Early Lung Cancer Prediction using deep Learning
Abstract: Lung cancer is a global killer because it’s often found late. Finding it early is key to treatment and survival so computer assisted diagnostics are essential. This research uses deep learning to spot early stage lung cancer from CT scans. We trained and fine-tuned three convolutional neural networks—ResNet50, Dense Net 201 and EfficientNet-B0—using transfer learning. We preprocessed the lung CT images by resizing, normalizing and augmenting them to enhance the …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 2, 2026 Read article
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Multi-Layered AI-Driven Paradigm Shift in IoT Ecosystem Security
Abstract: As the Internet of Things (IoT) continues to weave itself into the fabric of modern life – from smart homes and industrial automation to healthcare and urban infrastructure – the associated security vulnerabilities have become increasingly apparent. Traditional security mechanisms, often built on static rules and perimeter-based defenses, struggle to keep pace with the scale, heterogeneity, and dynamic nature of IoT ecosystems. In response, artificial intelligence (AI) has emerged as …
Published in Journal of Communication Engineering & Systems · Vol. 16, Issue 1, 2026 · pp. 13–21 Read article
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Harnessing IoT for Water Quality Surveillance and Management
Abstract: This paper provides an overview of IoT technology's integration in water quality management, focusing on real time monitoring of key parameters like pH, dissolved oxygen, turbidity, and temperature. Since it directly affects people's health and well-being, agriculture's viability, and the preservation of our natural environment, water quality is extremely important. However, as the world's population and industrialization grow, so does the need for water sources, making maintaining their purity extremely …
Published in Recent Trends in Fluid Mechanics · Vol. 10, Issue 3, 2023 · pp. 27–35 Read article
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Network Intrusion Detection System Using Decision Tree
Abstract: This paper presents a novel approach to network intrusion detection systems (NIDS) using advanced decision tree algorithms to address critical limitations in existing IDS solutions. Traditional IDSs often struggle with high false positive and negative rates, lack of scalability, and poor interpretability. Our proposed IDS leverages decision trees to enhance detection accuracy, interpretability, and scalability, thereby improving network security. Decision trees are chosen for their adaptive learning capabilities, transparent decision-making …
Published in Journal Of Network security · Vol. 12, Issue 2, 2024 · pp. 22–33 Read article
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Near Field Wireless Powering of Implantable Devices
Abstract: A new WPT system for biomedical applications has been investigated in this paper. First, an implantable receiving antenna with enhanced gain is studied. Then, a transmitting antenna array which can maximize the PTE of the WPT system is designed together with the receiving antenna and head model. Under the transmission distance of 150 mm, the PTE of the designed WPT system reaches a maximum value of 0.28% at the center …
Published in Journal of VLSI Design Tools and Technology · Vol. 9, Issue 1, 2019 · pp. 44–50 Read article
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Early Alzheimer’s Disease Prediction Using Vision Transformers and Attention-Guided MRI Analysis
Abstract: Alzheimer’s Disease (AD) continues to be a major global health concern, with early detection being crucial for effective intervention. While conventional machine learning and convolutional neural network (CNN) approaches have made notable progress in automated AD diagnosis using MRI data, they often struggle with capturing long-range dependencies and maintaining spatial contextual awareness. In this research, we propose a novel framework using Vision Transformers (ViTs) for early Alzheimer’s prediction from 3D …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 30–40 Read article
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A Comparison of NoSQL and Relational Database Management Systems (RDBMS)
Abstract: The new aspirant is a non-relational abstracts abundance which is widely deployed in large website environments where there is less reliance on relational databases, leading to enhanced performance in the field of data retrieval. NoSQL are additionally accepted as non-relational databases adulation relational databases and are now acclimated by the world's bigger organizations such as Facebook, Amazon, and Google. Both models are acceptable in specific areas and for specific applications. …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 1, 2023 · pp. 33–37 Read article
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AI for Cybersecurity: Deploying Machine Learning for Network Traffic Anomaly Detection
Abstract: The growing sophistication of cyberattacks and the growth of network traffic necessitate sophisticated anomaly detection methods. This study overviews the use of artificial intelligence (AI) and machine learning (ML) to counter these challenges, as noted in current studies. It analyses supervised learning (SVM, Decision Trees), unsupervised learning (K-means, DBSCAN), and deep learning (CNNs, RNNs, Auto-encoders) approaches, considering their strengths and weaknesses. The research integrates current developments in AI/ML-based network anomaly …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 1–10 Read article
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AquaSential: Autonomous UAV-Based Water Quality Monitoring System
Abstract: The increasing occurrence of waterborne health risks and the presence of harmful microorganisms in freshwater environments highlight the need for rapid and continuous water quality monitoring. Traditional laboratory-based testing methods often require significant time and manual sampling, limiting their ability to provide immediate information about changing environmental conditions. This work presents AquaSential, a low-cost, portable, and UAV-ready water quality monitoring system designed for real-time assessment of freshwater bodies. The proposed …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 2, 2026 Read article
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Custom Hand-Gestured Controlled Video Game using RGB Camera
Abstract: Video gaming is a rapidly evolving form of entertainment introducing young minds into the field and increasing competition within the industry. Due to the requirement of high-level passionate experience among players, game designers are forcing to create more realistic and enjoyable game plans. Gesture-based Monitoring (GM) in Human-Computer Interaction (HCI) plays a crucial role in increasing player’s enjoyment and delight during game play and chosen as a more significant modality. …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 3, 2022 · pp. 20–29 Read article
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Enhancing Portability and Convenience: Bag Pack Umbrella Review
Abstract: The carry-on bag, that is, a backpack that can be slung over the user's shoulders with two cotton straps, is covered under the utility model. An umbrella-and-bag arrangement, which combines an umbrella and a bag, is also shown in the utilitarian model. When using the umbrella, this assembly frees up the user's hands. Loop-closure equations were created by considering the affine mapping from two dimensions to three dimensions. These equations …
Published in Recent Trends in Sensor Research & Technology · Vol. 10, Issue 3, 2023 · pp. 1–5 Read article
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SpecForesight: A Predictive Analytics Pipeline for Laptop Price Forecasting
Abstract: This paper frames laptop pricing as a supervised predictive analytics problem, transforming product specifications into feature-rich signals to forecast price with calibrated regression models and operational guardrails against drift. A structured pipeline ingests tabular listings, performs data cleaning, and engineers domain-informed features (e.g., central processing unit (CPU) family and clocks, graphics processing unit (GPU) tiering, memory/storage density, display, and touch capabilities), followed by encoding and normalization to optimize model learnability. …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 61–71 Read article
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Inspection of Objects using Computer Vision
Abstract: This study is motivated mainly by the need for more efficient and advanced techniques in an inspection of an object because accurate and timely information is needed for any industry to improve their quality and increase the production of goods. The objective of this study is to provide an inexpensive and comprehensive review of defect inspection techniques. Nowadays, new computer vision technologies and image processing technologies have been very important …
Published in Journal of Electronic Design Technology · Vol. 11, Issue 3, 2020 · pp. 6–16 Read article
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A Review of AI-Based Intrusion Detection Systems for Mobile Ad Hoc Networks (MANETs)
Abstract: Mobile Ad Hoc Networks (MANETs) comprise wireless networks that lack any conventional infrastructure . Their chief features include highly changing network topologies, lack of centralized administration, and open nature of communication, which collectively result in making MANETs of the wireless kind very susceptible to a diverse range of cyber-attacks like blackhole, greyhole, wormhole, flooding, Sybil and denial-of-service (DoS) among others. Conventionally, Intrusion Detection Systems (IDS) relying on static rule-based methods …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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A Threshold-Weighted Mathematical Fusion Model for Epidemic Outbreak Prediction Using SEIR Residual Dynamics and Cloud-Based Machine Learning
Abstract: Accurate prediction of epidemic outbreaks is critical for effective public health management, resource planning, early warning generation, and timely intervention by municipal authorities. Traditional compartmental models such as Susceptible–Exposed–Infectious–Recovered (SEIR) offer valuable epidemiological insights and mathematical interpretability; however, they may not adequately capture the complex nonlinear relationships present in real-world urban health systems. Conversely, data-driven machine learning techniques can identify hidden patterns in large datasets but often lack epidemiological structure …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 12–19 Read article