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1096 articles for “AI Efficiency”
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The Emergence of Personal Desktop Voice Assistants for Effortless Task Management
Abstract: In an era defined by rapid technological advancement, desktop voice assistants have emerged as crucial tools, not only for enhancing productivity but also for fundamentally reshaping digital interactions. This study delves into the transformative potential of voice-enabled artificial intelligence in task automation, emphasizing its profound impact on efficiency, accessibility, and overall user experience. By harnessing the power of natural language processing and machine learning, these desktop assistants facilitate hands-free operation, …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 3, 2025 · pp. 11–16 Read article
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Development of A Gyratory Bladed Grinding Machine for Ripe Plantain Processing
Abstract: The processing of ripe plantains faces significant challenges, including inefficient grinding and mortar pasting methods, inconsistent paste quality, and maintenance difficulties with existing equipment. This paper presents the development of a gyratory bladed grinding machine specifically for ripe plantain processing. SOLIDWORKS CAD software was applied to create the machine's CAD, or computer-aided design, model. The design analysis of the machine components was conducted, and appropriate materials were selected to accommodate …
Published in International Journal of Industrial and Product Design Engineering · Vol. 2, Issue 2, 2024 · pp. 29–37 Read article
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Contemporary Facade Design with Eco-Friendly Material
Abstract: Facade and interior design play crucial roles in contemporary architecture, influencing both aesthetic appeal and environmental performance. This research examines the integration of eco-friendly materials in modern architectural design, with a focus on sustainability, energy efficiency, and material innovation. A comparative study is conducted on the rendered exterior and interior of a residential bungalow, analyzing the impact of sustainable materials such as smart glass, recycled composites, and passive cooling techniques …
Published in Journal of Construction Engineering, Technology & Management · Vol. 15, Issue 2, 2025 · pp. 21–34 Read article
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Strategy for Improving Software Maintenance Using Machine Learning for Security Requirements: A Review
Abstract: Within the area of software technical education, the significance of software defect discovery has increased as a research focus to enhance program reliability. By maximizing testing resources and assisting developers in identifying potential problems using program defect predictions, program dependability is increased. Applying software engineering (SE) techniques to critical and intricate systems, like networking and security systems, is imperative. Traditional methods of predicting software maintainability have limitations, particularly in balancing …
Published in International Journal of Information Security Engineering · Vol. 2, Issue 2, 2024 · pp. 36–48 Read article
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Accident Identification And Alerting System Using MSP430
Abstract: The "Accident Identification and Alerting System using MSP430" is an innovative project that focuses on enhancing road safety and emergency response mechanisms. This system harnesses the capabilities of the MSP430 microcontroller to continuously monitor a vehicle's movements and orientation through sensors and GPS modules. Using sophisticated algorithms, it can detect and identify accidents by analyzing data from the sensor. When an accident is detected, the system automatically triggers alerts to …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 1, 2025 · pp. 10–16 Read article
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Feature Extraction and Analysis of Bearing Faults: A Review
Abstract: One of the most important steps in identifying bearing problems is feature extraction. In order to provide a more meaningful dataset, it entails locating and extracting pertinent features from raw bearing vibration signals. Tasks involving categorization and prediction can then make use of these attributes. In many practical applications, such as monitoring rotating machinery or electronic components, the raw signals collected (e.g., vibration, current, temperature) are often complex, high-dimensional, and …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 20–28 Read article
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Advancements in Multiple-Input DC–DC Converters for Hybrid Renewable Energy Systems: Topologies, Control Strategies, and Applications
Abstract: Multiple-input DC to DC converters (MICs) are essential components in hybrid energy systems, enabling efficient management of diverse energy inputs from renewable sources such as solar photovoltaic (PV) panels and wind turbines. These converters facilitate the seamless integration of variable power outputs, addressing the intermittent nature of renewable energy through advanced power electronics. This paper provides a comprehensive review of the topologies, control strategies, and applications of MICs within renewable …
Published in Trends in Electrical Engineering · Vol. 15, Issue 2, 2025 · pp. 10–17 Read article
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Optical Image Sensing and Analysis of Iron Ore Pellets: A Machine Learning Approach
Abstract: The present work is aimed to improve quality control in steel production using SEM imaging and machine learning. High-resolution SEM images of iron ore pellets, primarily composed of hematite and magnetite, are analyzed to understand their microstructural features, which significantly impact pellet performance during reduction processes. Traditional microstructure analysis is manual, time- consuming, and prone to inconsistencies. This study proposes an automated approach using K-Means Clustering, Canny Edge Detection, DBSCAN, …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 3, 2025 · pp. 7–18 Read article
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Breast Cancer Detection Using Machine Learning: A Comparative Analysis of Supervised Learning Algorithms
Abstract: Globally, breast cancer remains a predominant cause of mortality among women, highlighting the urgent need for timely and precise diagnostic approaches. This research explores the application of machine learning algorithms—including Logistic Regression, SVM, Naïve Bayes, KNN, and Random Forest—on the Wisconsin Breast Cancer Dataset for effective tumor classification. Key pre-processing steps such as missing value handling, feature scaling, and dimensionality reduction were employed to improve model performance. The study evaluated …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 46–52 Read article
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Adhesively Bonded Patch Repair in Polymer Composites: Effects of Reinforcement Configuration and Post-Cure Temperature
Abstract: Adhesive patch repair technique has been identified as an effective and economical approach to repair damaged polymer composite structures that are used in aerospace, automotive, marine, wind energy, and many other high-performance engineering applications. Adhesive bonding offers superior stress distribution, reduced stress concentration, less structural weight and fatigue resistance, and thus increases the lifetime of the repair of composite structures when compared to the traditional mechanical attachment approaches. Performance and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 991–1001 Read article
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The Role of BIM and Parametric Intelligence in Architectural Practice: A Study of Architects in Uttarakhand
Abstract: Dehradun, the capital city of Uttarakhand, represents one of India’s youngest and most dynamic urban centers in Uttarakhand. Since its designation as the state’s capital, the city has experienced a rapid evolution in architectural development and construction technology. As urbanization and design demands increase, architectural practices in Dehradun and across Uttarakhand are progressively shifting from conventional methods toward advanced digital tools that promote precision, efficiency, and sustainable outcomes. Among these, …
Published in International Journal of Architectural Design and Planning · Vol. 4, Issue 1, 2026 · pp. 19–38 Read article
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Recent Trends in Fluid Mechanics with Emphasis on Aeroacoustics and Flow-Induced Noise Control
Abstract: Fluid mechanics continues to evolve rapidly due to increasing demands in aerospace, automotive, energy, and environmental engineering applications. Recent trends in this field highlight significant advancements in both theoretical understanding and practical implementations, particularly in complex flow phenomena. Among these, aeroacoustics and flow-induced noise control have emerged as critical research areas due to their direct impact on system performance, efficiency, and environmental sustainability. Aeroacoustics deals with the generation, propagation, and …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 1, 2026 · pp. 32–38 Read article
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Enhancement of Thermo-hydraulic Properties of a Novel Composite-Based Spiral Fin Tube Heat Exchanger: An Experimental Investigation
Abstract: It is now crucial for engineers to enhance procedures and boost heat exchanger efficiency. Heat exchanger performance can be significantly enhanced by a variety of methods. Composite-based fins or enlarged surfaces are frequently utilized to increase the air-side heat transfer rate in a variety of heat transfer applications. Because composite materials are lightweight, highly thermally conductive, and resistant to corrosion, they were used. A composite based fin's efficiency is influenced …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 238–251 Read article
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Defense Security Shield for Military Application
Abstract: The paper delivers a defense security shield, which is an innovative system aimed at enhancing military border security through the implementation of cutting-edge technology. Leveraging the capabilities of Raspberry Pi 4B, a camera module, servo motor, and buzzer, this system operates as an automatic aiming gun, designed to detect and respond to potential threats. The core functionality is driven by sophisticated person detection algorithms, ensuring accurate identification, and tracking of …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 3, 2024 · pp. 14–24 Read article
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CFD Analysis: Double Pipe Heat Exchanger, Latent Heat Storage, and BIM-CFD Integration
Abstract: This is a review work covering four research papers. Heat exchangers transport thermal energy across fluids; research in SolidWorks 2014 compared flow simulation to the effectiveness-NTU approach. Slow PCM charging/discharging is a global concern in latent heat storage; research on the influence of flow rate and temperature on melting and solidification durations discovered efficiency in a triple tube heat exchanger design. Advances in computational fluid dynamics for forecasting separated flows …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 2, Issue 2, 2024 · pp. 19–24 Read article
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Advancements in Thin Film Coatings for High-Efficiency Electronics and Communication Devices
Abstract: Thin film coatings have become integral to the development of high-efficiency electronics and communication devices, offering enhanced performance, miniaturization, and multifunctionality. This review delves into recent advancements in thin film technologies, focusing on their applications in semiconductors, optoelectronics, and communication systems. We explore various deposition techniques, including atomic layer deposition (ALD), chemical vapor deposition (CVD), and solution-based methods like spin coating, highlighting their impact on device efficiency and scalability. The …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 2, 2025 · pp. 19–24 Read article
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TZSBLC With Optimized PI Controller Design for Grid Tied PV Based Electric Vehicle
Abstract: Around the world, about 18% pre-mature births and 3.7 million losses of lives occur due to air pollution and 29% of it is contributed by the Internal Combustion Engine (ICE) based vehicles, which consumes fossil fuels for its functioning. Moreover, the increased demand for fossil fuels, as well as the growth in concerns regarding the environmentally friendly and zero-emission transportation, lead to the introduction of electric Vehicles (EVs). The increased …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 1, 2025 · pp. 18–35 Read article
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Multi-functional UAV for Disaster Response and Management
Abstract: Unmanned Aerial Vehicles (UAVs), commonly known as drones, have become integral across diverse fields such as agriculture, surveillance, and defense, with expanding roles in critical operations like search and rescue and post-disaster management. Despite their versatility, current UAVs encounter challenges in disaster response due to limitations in flight time, costs, and accuracy, particularly in dynamic weather conditions. The UAV is equipped with features essential for disaster site surveillance, human detection, …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 1–6 Read article
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Use of Artificial Intelligence to Access and Ensure Safe Drinking Water Supply: A Review
Abstract: Ensuring access to safe drinking water is a critical public health challenge. Traditional water quality assessment methods are often labor-intensive and time-consuming. Artificial intelligence offers a promising alternative, providing rapid, accurate, and scalable solutions for monitoring and predicting water quality. This systematic review examines the application of AI. The review highlights various AI models, including artificial neural networks, support vector machines, decision trees, and ensemble methods, in predicting water quality …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 21–28 Read article
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A Study on The Impact of Artificial Intelligence in Pharmaceuticals
Abstract: The main goal of artificial intelligence (AI) is to create intelligent modeling, which facilitates knowledge imagination, problem-solving, and decision-making. AI is becoming more and more significant in several pharmacy domains, including polypharmacology, hospital pharmacy, drug discovery, and drug delivery formulation development. Various types of artificial neural networks (ANNs), including deep neural networks (DNNs) and recurrent neural networks (RNNs), are utilized in the development of drug delivery formulations and in drug …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 1, 2025 · pp. 24–32 Read article