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106 articles for “feature engineering”
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CIPHER Intelligence: AI-Powered Global Military Expenditure Analysis and Predictive Modeling
Abstract: Military expenditure analysis has emerged as a critical component of economic and geopolitical intelligence in the modern era. This paper presents CIPHER Intelligence, a comprehensive AI-powered platform for analyzing and predicting global military spending patterns across 211 countries spanning54 years (1970-2024). We employ advanced machine learning techniques, particularly Random Forest regression models, to achieve 99.5% prediction accuracy for military expenditure forecasting based on economic indicators. The platform integrates data from …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 Read article
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A Review on AI and Machine Learning for Predictive Maintenance and FDD in RAC Systems
Abstract: The paper reviews the existing AI/ML methods first in the general context of predictive maintenance and FDD of RAC systems, then specifically focusing on granular cooling appliances. Perspectives and insights are provided on the reasons why potentially valuable models do not make it into practice more often, and where future research and development should be headed. New emerging topics for decision support systems to include domain knowledge and physics-based modeling …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 13, Issue 1, 2026 · pp. 15–25 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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Predicting Student Placement Readiness: A Machine Learning Approach Using Coding Activities and Multi-Dimensional Performance Indicators
Abstract: In the modern information-driven academic world, identifying student employability and placement preparedness has predicted. be made a part and parcel of academic planning and career. development. This study provides a machine learning-based. structure to evaluate and forecast student placement pre-paredness by combining various performance aspects-academic achieve- ment, coding activity, aptitude and behavioral engage-ment metrics. Multi-source was gathered and preprocessed in the study. student information, such as student records (CGPA, attendance), …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 Read article
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Exploring Diagrid Efficiency: A Modern Analysis of Lateral Load Resistance Across Building Heights
Abstract: Modern architectural design and engineering often feature innovative structural systems, with diagrid structures standing out as an aesthetically appealing solution for tall buildings due to their geometrically complex patterns. Despite extensive global research on diagrids, a comprehensive study systematically comparing their structural efficiency is still lacking. The structural efficiency and seismic performance of diagrid lateral load-resisting systems were evaluated in this thesis. The study compared the diagrid system's effectiveness against …
Published in Journal of Construction Engineering, Technology & Management · Vol. 14, Issue 2, 2024 · pp. 11–23 Read article
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Thermal and Microstructural Evaluation of Natural-Glass Fiber Hybrid Composites: Sustainable Alternatives to Synthetic Materials
Abstract: The scope of engineering requirements for composite materials, which mix features from several elements engaged in engineering applications to enable greater performance, cannot be adequately understood in this way. The most recent of these materials are hybrid composites, which combine synthetic and natural fibers, particularly glass fibers, and are anticipated to create new, promising materials in terms of their ties to cost, performance, and consistency. From the perspective of their …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1275–1285 Read article
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Analysis of Methods of Development, Structure and Properties of Engineered Bamboo Materials
Abstract: Engineered bamboo materials have received much attention in recent years due to their sustainable nature and potential as an alternative to traditional building materials. This article provides a comprehensive analysis of the development methods, structural features and properties of engineered bamboo materials. The introduction sets the stage by explaining the importance of such materials in relation to sustainability and environmental protection. The later analysis presents important research works and classifies …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 14, Issue 1, 2024 · pp. 25–32 Read article
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Antenna Positioning Unit for Defence Vehicles
Abstract: This paper introduces an advanced antenna positioning system specifically engineered for defense vehicle applications, featuring Azimuth angle rotation and Elevation angle rotation. The system, designed for precision and adaptability, achieves remarkable accuracy. Noteworthy is its immunity to magnetic field interference, ensuring unwavering reliability in electromagnetic-intensive defence environments. The system's substantial weight-bearing capacity, coupled with precise control, makes it an ideal solution for defense vehicles necessitating advanced communication and surveillance capabilities. …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 38–46 Read article
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Thin Film Coatings for Anti-Reflective and Anti-Fogging Applications in Optical Devices
Abstract: To maximize optical device lifetime and performance, thin film coatings are crucial. Coatings with anti-reflective (AR) and anti-fogging (AF) properties are important uses that improve optical systems' usability and performance. This review covers materials, deposition methods, and performance measures, providing a thorough analysis of recent developments in AR and AF thin film technologies. The study examines several techniques, such as chemical vapor deposition (CVD), sputtering, and sol-gel procedures, for producing …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 11, Issue 2, 2024 · pp. 26–30 Read article
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Innovative Porcelain Insulators: Prolonged Durability and Anti-Contamination Efficiency via Nano-TiO2 Photocatalyst Integration
Abstract: Porcelain has long been a critical material in high-voltage electrical insulation due to its exceptional mechanical, thermal, and dielectric properties. However, environmental contamination and material degradation over time pose significant challenges to its durability. This study investigates the integration of nano-sized titanium dioxide (TiO2) photocatalyst coatings on porcelain insulators to enhance their performance and prolong their operational lifespan. Local clay compositions were analyzed, and a comparative study of untreated and …
Published in International Journal of Crystalline Materials · Vol. 1, Issue 2, 2024 · pp. 18–23 Read article
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IoT-Enabled Multi-Sensor Accident Detection and Automatic Rescue Alert System
Abstract: Road accidents and vehicle instability caused by skidding, engine overheating, and improper braking behavior remain major concerns in modern transportation systems. This project presents an intelligent vehicle safety and accident detection system that integrates multiple sensors and control logic to enhance driving safety and reduce accident severity. A vibration sensor is employed to detect collision or impact events and accurately identify vehicle accidents. An accelerometer sensor is used for real-time …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 1, 2026 · pp. 9–19 Read article
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Arduino Uno-based Clap Detection Light Control System
Abstract: Lamp technology plays a pivotal role in providing illumination, enhancing various daily activities for countless individuals. The author endeavors to create a prototype tool equipped with a system capable of seamlessly toggling lights on and off, fostering efficiency and eliminating the need for physical interaction. This system enables the activation and deactivation of lights through the detection of sound generated by human movement, thus obviating the necessity to physically manipulate …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 1, 2024 · pp. 32–38 Read article
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Innovative Polymer Nanocomposites: Bridging Sustainability and Advanced Material Performance
Abstract: This study examines the evolution of bio-based polymer nanocomposites using eco-friendly synthesis methods to improve mechanical, thermal, and barrier properties. It involves the combination of sustainable synthetic polymers with natural polymers in the presence of nanofillers in a green and compatible fashion to generate durable nanocomposites. Optimal alignment of nanofillers with the polymer matrices can be achieved using solvent casting, melt blending, and in-situ polymerization as fabrication methods. Consequently, the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1671–1679 Read article
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Substantial Enrichment of Mechanical, Thermal and Electrical Properties of Thermoplastic Polyester Elastomer by Melt Blending with Nano-ZnO
Abstract: Polymers are more reinforced with nano metal oxides, a completely flexible composite of engineering that simplifies the way of exhibiting good mechanical and chemical features. Polymer mixtures represent a very vital field in the handling of innovative ingredients, which have better features than net polymers. Polymer mixtures are able to deliver ingredients with prolonged useful features beyond the range that can be achieved from a single polymer equivalent. A methodical …
Published in Emerging Trends in Chemical Engineering Read article
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The Rise of Fractional Calculus: Novel Applications in Engineering and Biological Systems
Abstract: Fractional calculus (FC) is an advanced mathematical framework that generalizes the classical concepts of differentiation and integration to non-integer, or fractional, orders. This extension of traditional calculus allows for the modeling of complex dynamic systems that exhibit behavior not easily captured by integer-order differential equations. Over the last few decades, fractional calculus has seen a rapid rise in popularity, particularly in applied mathematics, engineering, and biological sciences, due to its …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 7–11 Read article
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The Onset of Rayleigh-Bénard-Marangoni Convection in a Ferromagnetic Fluid Layer
Abstract: This study examined the implications of magnetic boundary conditions, which are vertical in nature, on buoyancy and surface tension–driven ferrothermal convection (FTC) in a ferrofluid layer. While the upper surface is stress-free and susceptible to general thermal boundary issues, the bottom surface is stiff and insulating against temperature changes. The eigenvalue issue is solved analytically using the regular perturbation method and numerically using the Galerkin technique. According to analysis, raising …
Published in Journal of Experimental & Applied Mechanics · Vol. 16, Issue 1, 2025 · pp. 1–9 Read article
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Innovating Sustainably: The Role of Generative Design in Sustainable Technology Development
Abstract: As industries strive for sustainability, generative design has emerged as a transformative approach in engineering, offering solutions that minimize environmental impact while optimizing product performance. Based on established features, including material, size, weight, and performance standards, generative design generates an immense amount of design options using machine learning and artificial intelligent algorithms. Unlike traditional design, which relies on human intuition, generative design automates the exploration of solutions, ensuring material efficiency, …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 3, Issue 1, 2025 · pp. 39–45 Read article
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Production Methods, Mechanical Characteristics, and Industrial Uses for Metal Matrix Composites
Abstract: Advanced light-weight components known as composites from metal matrix are made of an element the alloy matrix with a second phase incorporated and dispersed throughout to improve certain properties. The composite's property varies according to the remaining phase's size, shape, and quantity. Because of its unique combination of ceramic and metallic features, it has better mechanical and physical qualities. These materials belong to a new breed of engineered materials that …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 1–5 Read article
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Study of Contact Temperature During Polishing of Zinc Plate with Ultrasonic Vibration Using Single Pole Magnetic Abrasive Finishing
Abstract: The present work scrutinizes the impact of ultrasonic vibration on the contact temperature during polishing zinc plates with Single Pole Magnetic Abrasive Finishing (SPMAF). The efficacy and eminence of FMAB finishing are pointedly influenced by heat generation at the interaction point, as raised up temperatures can lead to the deprivation of abrasive elements or the bonding material inside the brush, which leads to the fading its overall effectiveness. The magnetic …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1239–1247 Read article
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Integrative Structural-Functional Genomics of Fc and Fab: Precision Models for Monoclonal Antibody Stability and Anti-Aggregation Engineering
Abstract: Monoclonal antibodies (mAbs) represent the cornerstone of biotherapeutics, yet aggregation propensity compromises up to 50% of candidates during development, driven by Fab hypervariability and Fc vulnerabilities.(1,2) This review integrates functional genomics from OAS (4B+ sequences)(5) and structural databases (SAbDab: 10K+ structures)(6) with machine learning models achieving R=0.97 for SAP prediction.(11) We dissect biophysical mechanisms, benchmark predictive tools (DeepSP, ESM2), and engineering strategies (YTE, FW mutations) that enhance Tm by 5-10°C …
Published in International Journal of Molecular Biotechnological Research · Vol. 4, Issue 1, 2026 Read article