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682 articles for “drying efficiency”
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Global Robotics Market Dynamics: Trends, Growth, and Future Projections Based on Machine Learning
Abstract: Robotics is advancing rapidly, fueled by technological innovations and a wide range of applications. In 2020, the global robotics market reached a valuation of $40 billion, with industrial robotics comprising $25 billion. Robots are increasingly being utilized in manufacturing, driving automation and enhancing efficiency. Countries like South Korea, Singapore, and Germany are leading in robot density, highlighting their role in enhancing productivity and competitiveness. The analysis presented in this paper …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 1, 2025 · pp. 01–08 Read article
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An Intelligent Modelling system for Automotive Vehicles
Abstract: In this paper it’s about the development of artificial intelligence that has fuelled technological advancements. Self-driving automobiles are an example of an innovative development. Nowadays, you may work or sleep in your car while driving to your destination without touching the steering wheel or accelerator. This project aims to create a workable model of a self-driving car capable of traveling on multiple tracks, including curved, straight, and straight followed by …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 1, 2025 · pp. 32–40 Read article
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A Study on Precision Blood Propulsion in Motor-Driven Artificial Hearts
Abstract: The development of biocompatible, energy-efficient pumping mechanisms is pivotal for advancing artificial heart (AH) technology. This study explores a motor-driven centrifugal pump designed to replicate the physiological dynamics of natural ventricles while mitigating complications associated with conventional axial and pulsatile systems. The proposed system employs a brushless DC motor with closed-loop control, integrated with pressure and flow sensors to modulate rotational speed (RPM) and generate biomimetic cardiac output. The suggested …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 · pp. 53–59 Read article
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Harnessing IoT and Sensor Technologies for Smart Agriculture: A Path Towards Viksit Bharat
Abstract: The integration of Internet of Things (IoT) and sensor technologies is redefining the landscape of Indian agriculture, serving as a catalyst for achieving the ambitious vision of Viksit Bharat (Developed India). Indian agriculture faces significant challenges such as resource scarcity, climate variability, and fragmented supply chains, which hinder productivity and sustainability. IoT-based solutions offer innovative approaches to address these critical issues by enabling smart irrigation systems, real-time field monitoring, precision …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 2, 2025 · pp. 38–45 Read article
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DRIVE-DEFENDER: A Driver Safety-oriented Alcohol and Drowsiness Detection System
Abstract: DRIVE-DEFENDER presents a pioneering approach in driver safety through the development of a real-time machine learning system for alcohol detection. The detrimental impact of alcohol-impaired driving on road safety necessitates efficient detection mechanisms. Current methodologies are often hindered by their cost, invasiveness, and reliance on specialized sensors. DRIVE-DEFENDER utilizes a camera for recording the face of the driver in real time, employing image processing techniques to identify facial landmarks. These …
Published in Journal of Open Source Developments · Vol. 11, Issue 1, 2024 · pp. 15–26 Read article
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The Rise of AI in E-Commerce: Transforming Shopping Experiences
Abstract: The field of e-commerce is transforming due to the integration of artificial intelligence, offering businesses fresh possibilities to enhance customer experiences, streamline operations, and foster expansion. This article explores the transformative impact of artificial intelligence (AI) on various aspects of e-commerce, including personalized shopping experiences, intelligent chatbots and virtual assistants, predictive analytics for inventory management, dynamic pricing strategies, visual search and image recognition, fraud detection, and security measures, augmented reality …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 22–26 Read article
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Design, Functionality and Applications of Water Chiller Variant
Abstract: This research paper provides a thorough examination of water chillers, focusing on their design, functionality, and diverse applications. By analysing different types of chillers, their operational mechanisms, and specific uses across industries, this study aims to enhance understanding and offer insights into the selection and implementation of water chillers in various setting. Alternative Water Chiller Panels are employed in cooling systems to regulate the water chiller's functioning. Actuators, temperature sensors, …
Published in Recent Trends in Fluid Mechanics · Vol. 11, Issue 3, 2024 · pp. 30–36 Read article
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AI: Revolutionizing Pharmacy Practice and Enhancing Patient Care and Safety
Abstract: The use of artificial intelligence (AI) in pharmacy is transforming medication management, improving patient care, and boosting safety. By leveraging cutting-edge technologies, such as machine learning, natural language processing, and predictive analytics, AI enables pharmacists to develop personalized treatment plans and anticipate possible adverse drug reactions. AI-driven systems enhance operational efficiency by streamlining inventory management, prescription processing, and administrative duties, allowing pharmacists to devote more time to patient care. Additionally, …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 13–20 Read article
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Sustainable Feeding Practices for Dairy Development in the tropics: Exploring Cost Reduction through Resource Optimization
Abstract: Sustainable feeding practices are crucial for enhancing the economic viability and environmental responsibility of dairy farming. This review explores innovative strategies for cost reduction through resource optimization, aiming to minimize feed expenses while maintaining animal health and productivity. A comprehensive examination of over 100 cost-saving measures reveals diverse approaches, including nutritional planning, pasture management, and the incorporation of alternative feed sources. The integration of precision feeding techniques, waste utilization, and …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 14, Issue 2, 2025 · pp. 11–19 Read article
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Green Q-Commerce: Balancing Speed and Sustainability in Hyper-Fast Delivery Systems
Abstract: The rapid expansion of quick commerce (q-commerce) has transformed consumer expectations with ultra-fast deliveries, yet its environmental impact—marked by carbon-intensive logistics, excessive packaging waste, and energy-heavy operations—poses significant sustainability challenges. This review examines how the q-commerce sector can reconcile speed with ecological responsibility through innovative solutions, including electrified last-mile delivery (e-bikes, electric vehicles, drones), circular packaging models (reusable containers, biodegradable materials), and artificial intelligence (AI)-driven logistics optimization (route efficiency, demand …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 2, 2025 · pp. 22–27 Read article
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Swarm Intelligence in Software Engineering: A Systematic Review of Crowd-Based Development Models
Abstract: The crowd-based software production model has emerged as a transformative paradigm, leveraging global collaboration, decentralized governance, and artificial intelligence (AI)-driven automation to develop software efficiently. Traditional software development models, characterized by centralized control and in-house teams, are increasingly giving way to distributed, community-driven efforts. Key advancements such as blockchain-based decentralized autonomous organizations (DAOs), AI-assisted coding and debugging, and edge computing applications are reshaping the landscape of software engineering. DAOs provide …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 2, 2025 · pp. 01–11 Read article
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Automatic Brake Failure Indication with Auxiliary Braking System
Abstract: Accidents in vehicles often happen due to diverse factors, with brake failure being a significant contributor resulting from inadequate maintenance and product defects. To protect human lives and reduce the risk of accidents, effective monitoring of brake systems is vital in the automotive industry. Vehicle safety encompasses not only the prevention of accidents but also the mitigation of their adverse effects on human health. Today’s cars come with innovative safety …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 1–7 Read article
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Advancements in Ore Beneficiation Technologies: A Review of Modern Extraction Methods
Abstract: Ore beneficiation plays an essential role in the mining industry, as it facilitates the extraction of valuable minerals from their ores while ensuring maximum efficiency and minimal environmental impact. Beneficiation technologies have evolved significantly over time, leading to improvements in metal recovery rates and reduced waste generation. These advancements have enabled the mining industry to address increasing resource demands, with a particular focus on sustainability and cost-effectiveness. In this review, …
Published in International Journal of Minerals · Vol. 2, Issue 1, 2025 · pp. 36–40 Read article
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Neuromorphic Spiking Neural Networks and Event-Driven Hardware: Architectures, Learning Paradigms, and Experimental Realizations
Abstract: With the current computational boom the research community is seeking for more sustainable energy efficient i.e. biologically inspired models of conventional Artificial Neural Networks (ANNs). Spiking Neural Networks (SNNs) known as the third generation of neural network models, provide a revolutionary approach by mimicking the asynchronized event-driven and temporally accurate signaling of the mammalian brain. Whereas conventional deep learning models operate with real-valued activations and dense matrix multiplications, SNNs use …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 Read article
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A Review on Two-Wheeled Self-Balancing Robot Using Spartan-3E FPGA for Sensor Fusion and Real-Time Motor Control
Abstract: Two-wheeled self-balancing robots (TWSBR) are a popular application of embedded control and robotics because they operate on the inverted pendulum concept, which is naturally unstable. The main objective of such robots is to continuously maintain balance by estimating the tilt angle and applying corrective motor action in real time. In most practical systems, low-cost inertial sensors such as accelerometers and gyroscopes are used for tilt measurement. However, accelerometer readings are …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 1, 2026 · pp. 17–27 Read article
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A Streamlined, Integrated Academic Management Portal for Faculty Access
Abstract: In today's rapidly evolving educational scene, increasing productivity and improving educational outcomes depend on the efficient management of academic resources and administrative responsibilities. This project proposes a streamlined and integrated academic management portal to provide faculty members with efficient access to required tools and resources. It is now possible for faculty to utilize a simplified integrated academic management portal. The site for managing attendance and marks is run by faculty …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 2, 2024 · pp. 1–6 Read article
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Overview AI-Driven Antenna Technologies and Privacy- Preserving Methods for Next-Generation 6G Wireless Systems
Abstract: The next generation of wireless communications, 6G, will be built on the convergence of artificial intelligence (AI) and advanced antenna systems. AI-driven antennas are poised to address the unprecedented requirements for data rate, reliability, adaptability, and ubiquity in future networks. An overview of current advancements in AI-enabled antenna systems for 6G networks is provided in this study. From traditional base station deployments to distributed, cell-free, and user-centric frameworks, it examines …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 1, 2026 · pp. 28–34 Read article
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Sustainable Materials Management: Strategies for Reducing Waste and Enhancing Resource Efficiency in Construction
Abstract: The construction industry is a critical driver of economic development, but it also plays a significant role in environmental degradation due to its high demand for natural resources and its substantial contribution to global waste production. In response to these environmental challenges, Sustainable Materials Management (SMM) has emerged as a comprehensive framework aimed at promoting resource efficiency, reducing waste, and lowering the overall environmental impact of construction activities. This study …
Published in Journal of Construction Engineering, Technology & Management · Vol. 16, Issue 1, 2026 · pp. 11–23 Read article
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AI-Powered Solutions for Sustainable Waste Management in Construction Projects
Abstract: The construction industry is a significant contributor to global waste, posing challenges to sustainability and environmental health. This research explores AI-powered solutions for sustainable waste management in construction projects, focusing on optimizing waste reduction, recycling, and resource efficiency. By integrating machine learning algorithms and IoT-enabled sensors, real-time monitoring of waste generation and segregation can be achieved. Predictive analytics and AI-driven decision-making tools are employed to enhance material reuse and minimize …
Published in Recent Trends in Civil Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 1–5 Read article
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IoT-Enabled Sustainable Development: Architectures, Applications, Challenges, and Future Directions
Abstract: The Internet of Things (IoT) has developed into a powerful technology that can help tackle key global sustainability issues by enabling real-time monitoring, supporting data-based decisions, and facilitating smart automation. By interconnecting physical devices, sensors, and communication networks, IoT enables continuous data collection and analysis that supports efficient resource utilization across multiple sectors such as energy, agriculture, water management, transportation, and urban infrastructure. Through smart sensing and automated control systems, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 2, 2026 Read article