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298 articles for “multi-class classification”
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A Low-Cost Multi-Sensor IoT System for Real-Time Segregation of Polymer Waste
Abstract: Segregation of solid waste is a critical aspect of waste management, especially in settings where technical and financial constraints limit the adoption of sophisticated technologies. The proposed low cost, sensor-driven smart waste sorting system combines a variety of sensing technologies with an integrated decision-making system. The system employs an inductive sensor, moisture sensor and capacitive sensor to measure the physical properties of waste items, allowing segregation into metal, wet and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 90–`107 Read article
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Luminescent Phenomena and Materials: Fundamentals, Developments, and Multidisciplinary Applications
Abstract: Luminescence, defined as the emission of light without significant heat generation, represents a fundamental phenomenon bridging physics, chemistry, materials science, and biotechnology. Over the centuries, the understanding of luminescence has evolved from simple observational curiosity to a sophisticated quantum-mechanical framework describing electronic transitions in atoms, molecules, and solids. This review provides a comprehensive overview of the historical development, fundamental mechanisms, classifications, and material systems associated with luminescence. It places particular …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 16, Issue 2, 2026 Read article
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Differential Privacy-Aware Data Sanitization for Multi-Level Security
Abstract: Multi-level security (MLS) models are fundamental for enforcing mandatory access control in high-security environments such as government, military, healthcare, and finance. However, traditional MLS frameworks, including the Bell-LaPadula and Biba models, often create rigid data silos, preventing efficient data utilization. Differential privacy (DP) presents a novel solution by enabling controlled information leakage while preserving confidentiality. By injecting statistical noise into query results, DP allows lower-clearance users to access sanitized versions …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 1, 2025 · pp. 42–52 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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Music Recommendation System Using Big Data and Machine Learning
Abstract: In comparison to earlier times, there is now a wealth of music available thanks to the development of music streaming services that can be used from mobile devices. Classifying digital music can be timeconsuming and cause fatigue. Obtaining one’s favorite music from the huge music selection has become a problem. The creation of a music recommendation system that can search through music libraries and make song recommendations to users based …
Published in Journal of Open Source Developments · Vol. 9, Issue 3, 2022 · pp. 18–24 Read article
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Development of a Soft Computing-Based Island Detection System and Performance Analysis
Abstract: There has been an overestimation of the global energy consumption in the last few years. Distributed Generators are being propelled forward by the motivation provided by the absence of suitable transmission capacity, exaggerated transmission and distribution mishaps, and the release of power marketing (DGs). It's a distributed age unit (DG slash hack expansion) and regional units linked to distribution that power the system, which has yet to have hundreds of …
Published in Journal of Semiconductor Devices and Circuits · Vol. 8, Issue 3, 2021 · pp. 1–15 Read article
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Tank Water Quality Analysis Using Machine Learning
Abstract: Tank Water quality is a critical factor for public health, agriculture, as well as industry. Continuous monitoring of tank water quality: temperature, humidity, water level, CO2 concentration, and pH, is vital for safe usage. Using machine learning, real-time data analysis can detect anomalies, predict issues, and optimize water management, ensuring timely responses and improved safety. This intelligent approach enhances decision-making and maintains water quality effectively in various environments.We develop an …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 2, 2025 · pp. 27–34 Read article
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A Critical Review of Hydraulic Fracture Propagation in Shale Gas Reservoirs
Abstract: The successful exploration and development of unconventional shale gas reservoirs was possible with advances in hydraulic fracturing and horizontal drilling. Hydraulic fracture treatments open these natural fractures and create a fracture network in gas shales. However, the fracture propagation is not fully understood as of now. A critical review of hydraulic fracture propagation in shale gas formations is presented in this paper. Effects of pertinent factors on hydraulic fracture propagation …
Published in Journal of Petroleum Engineering & Technology · Vol. 3, Issue 3, 2013 · pp. 1–17 Read article
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Diagnostic Algorithm of Multidetector Computed Tomography (MDCT) for Healthy Lungs to Detect Variations of Morphologic Index
Abstract: Introduction: Diagnostic algorithm of Multidetector Computed Tomography (MDCT) was established to make qualitative diagnosis with four types of shadows-increased Lung Attenuation, Decreased Lung Attenuation, Linear Pattern, Nodular Pattern and the nodular pattern is also used for qualitative assessment by being further classified as round, lobulated, polygonal, tentacular, spiculated, ragged and irregular pattern. Method: To establish the new diagnostic algorithm using MDCT result indicators, we selected morphologic indices to used CAD …
Published in Research and Reviews : Journal of Surgery · Vol. 11, Issue 1, 2022 · pp. 30–33 Read article
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An Analysis of Multimodal Fusion in Deepfake Detection for Video Samples
Abstract: In today’s rapidly evolving digital landscape, deepfake technology stands as both a marvel and a threat to privacy and security. Deepfakes, hyper-realistic synthetic media created using artificial intelligence (AI), can deceive and manipulate on an unprecedented scale, from political propaganda to compromising videos of public figures. This research navigates deepfake detection, focusing on two advanced methodologies: the vision transformers (ViT) image classifier and the Meso4 method. The ViT model utilizes …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 19–27 Read article
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Transfer Learning Based High-Precision Multi-Class Object Detection for Real-Time UAV Autonomous Landing via YOLOv8l in Unstructured Scenarios
Abstract: A significant challenge for autonomous drone landings in unstructured environments is that of reliably detecting and identifying objects in real-time to ensure safety and accuracy of the landing area. This paper presents a well-founded method for solving this problem using the YOLOv8l object detection framework to detect landing zones, obstacles and people in the relevant vicinity of the landing area. The dataset used for the training of the model contained …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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A Comprehensive Review on Piezoelectric Composites for Energy Harvesting and Sensing
Abstract: The capacity of piezoelectric composites to transform mechanical energy into electrical energy and vice versa has drawn a lot of interest recently. This property makes them very appealing for use in energy harvesting and sensing applications. These materials combine the high piezoelectric performance of ceramics with the mechanical flexibility and processability of polymers or other matrices, enabling a wide range of practical uses in flexible electronics, wearable systems, and embedded …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 1, 2025 · pp. 19–24 Read article
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Multi-way Protection Scheme to Handle Multiple Failures for Cost-Efficient Fiber-Wireless (FiWi) Access Networks
Abstract: AbstractFiber Wireless (FiWi) access networks prove themselves as promising broadband access networks. These networks enable users to access services in “Anywhere-Anytime” fashion. FiWi networks offer higher bandwidth and better flexibility at much lower price than passive optical network. As FiWi supports high data rate (typically about Gigabits per second), any failure may results in huge data loss. Therefore, to protect such loss of data, we need to design a more …
Published in Trends in Opto-electro & Optical Communication · Vol. 5, Issue 3, 2015 · pp. 1–15 Read article
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NDVI An Indicator of Forest Cover Change Detection: A Geospatial Study on Chunati Forest Beat Areas, Chittagong, Bangladesh
Abstract: Chunati Forest Beat Areas (CFBA) consisting of seven reserved forest (RF) blocks/beats of hill forests is located in the countries south-eastern region is facing deforestation problem due to extensive logging and encroachment. Geospatial technology in combination with Remote Sensing and Geographical Information System (GIS) can be used to assess the change of vegetation cover of Chunati Forest Areas. For this study, false color composite of band 4, 3, and 2 …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 1, 2015 · pp. 5–18 Read article
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Numerical Analysis of Oblique Impinge shock-wave/turbulent boundary-layer interaction Using Reynolds Average Navier Stroke Equations
Abstract: Interaction of shock waves with turbulent boundary layer plays an important role in the design and operability of high-speed aerospace vehicles and air-breathing engines. During interaction, the adverse pressure gradient of the shock is often strong enough to separate the boundary layer. Reynolds averaged Navier-Stokes simulations using conventional turbulence models do not predict the correct size and shape of the separation bubble in strong shock/turbulent boundary-layer interactions. The corresponding surface …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 8, Issue 3, 2019 · pp. 31–48 Read article
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Static and Dynamic Analysis of Conventional, Diagrid and Hexagrid Systems Across Different Storey Heights
Abstract: In structural engineering, multi-storey buildings’ seismic resilience in earthquake-prone areas is crucial. The seismic performance of proposed multi-story buildings with different heights (G+13, G+19, and G+27) is thoroughly examined in this study using traditional structural systems that are octagrid and hexagrid. Under seismic zone III conditions, the study evaluates important parameters such as storey drifts and storey displacements using the Response Spectrum Method. Each structural system's seismic response is assessed …
Published in Journal of Offshore Structure and Technology · Vol. 12, Issue 2, 2025 · pp. 36–47 Read article
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AI Powered Fault Detection in DC Motor using STM32
Abstract: This work presents the design and implementation of an embedded artificial intelligence system for real-time fault detection in a direct current (DC) motor using the STM32 Nucleo- F411RE microcontroller. The objective of the study is to develop a low-cost and efficient predictive maintenance solution capable of identifying abnormal motor behavior at an early stage. Vibration and temperature signals are acquired using an MPU6050 sensor and processed directly on the microcontroller …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 39–49 Read article
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ML Analysis of Factors Affecting Vaccination in Rural Children: A Machine Learning Approach
Abstract: Vaccination remains one of the most effective public health interventions for preventing childhood diseases, yet rural regions in India continue to experience uneven immunization coverage due to multiple socioeconomic and geographic barriers. This research applies machine learning techniques to identify and analyze the major determinants influencing childhood vaccination uptake in rural communities. The study utilizes survey-based demographic, socioeconomic, and healthcare-related parameters to build predictive models that classify children as vaccinated …
Published in International Journal of Vaccines · Vol. 3, Issue 2, 2026 Read article
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Intelligent Paradigms in Subsea Connectivity: A Comprehensive Review of Artificial Intelligence in Underwater Communications
Abstract: Underwater wireless communication (UWC) plays a critical role in ocean exploration, environmental monitoring, offshore energy operations, disaster management, and naval defense. However, the underwater environment presents significant communication challenges, including severe signal attenuation, multipath propagation, Doppler effects, limited bandwidth, high latency, and energy constraints. Recent advancements in Artificial Intelligence (AI) and Machine Learning (ML) have emerged as promising solutions to address these limitations and enhance the efficiency, reliability, and adaptability …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Literature Review and Discussion of Machine Learning Algorithms for Predicting Chronic Kidney Disease
Abstract: Being one of the most serious and most occurring diseases in our era, chronic kidney disease requires a fast and correct diagnosis. The usage of machine learning in medicine has now grown to such a level that it could be a means of diagnosis. The doctor can be the first one to get the ailment by using machine learning classifier algorithms. This has been the data science sector’s new horizons, …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 34–39 Read article