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1887 articles for “process improvement” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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FUNGI IN THE GLOBAL BIOECONOMY: HARNESSING THE R POTENTIAL ACROSS AGRICULTURE, MEDICINE, INDUSTRY, AND ENVIRONMENTAL SUSTAINABILITY
Abstract: One of the most diverse and functionally versatile groups of living organisms, fungi has played a significant role in maintaining ecological balance, human well-being, agricultural production, and industrial processes. Despite their vast potential, the use of fungi systems in solving some of the most serious challenges facing the world today, such as climate change, food security, and AMR, is still in its infancy. New developments in genomics, biotechnology, and systems …
Published in International Journal of Fungi · Vol. 3, Issue 1, 2026 · pp. 20–27 Read article
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Diffusion-Based Enhancement of Low-SNR Time- Frequency Signals
Abstract: Traditional enhancing techniques are useless in low signal-to-noise ratio (LSNR) situations because noise drastically interferes with communication signals. Based on an enhanced DiffBIR model, this paper suggests a dual-stage signal improvement approach that combines diffusion with deep learning. By combining the Inception module for multi-scale feature extraction with the Pixel Fusion Attention (PFA) module for significant region highlighting, the model improves signal recovery in the time- frequency domain. Experiments show …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 · pp. 15–27 Read article
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Development of Chemi-resistive Polymeric Sensors for Innovations in Smart Buildings Interfacing with AI Systems
Abstract: The Elevator efficiency has become a critical concern in modern buildings, where frequent, unnecessary stops are a major inconvenience for tenants and contribute to significant energy consumption. Traditional elevator systems often halt on every floor, even when not required, leading to inefficiencies that are particularly costly in high-rise buildings. This paper proposes a smart elevator system using Artificial Intelligence (AI) and image processing to address these issues. By intelligently analyzing …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1426–1438 Read article
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Design and Development of Screw Detection System : A case study
Abstract: This study explores the design of a vision-based screw detection and orientation system for industrial automation, inspection, and robot disassembly. By integrating machine learning algorithms like region-based convolutional neural networks (R-CNN) with traditional image processing and impedance sensing, the system performs real-time screw presence detection, head type identification, and alignment. Three key technologies—deep learning classification, edge-based geometric analysis, and impedance verification—are integrated into a single modular system. The findings indicate …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 30–36 Read article
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Artificial Intelligence in Cybersecurity: Emerging Trends, Technological Advancements, and Future Directions for Cyber Defense
Abstract: Artificial Intelligence (AI) is revolutionizing the field of cybersecurity by automating complex security tasks, improving threat detection capabilities, and enhancing the precision of threat response mechanisms. With the rapid evolution of cyber threats such as malware, ransomware, phishing, and data breaches, conventional security systems are often insufficient to provide timely and accurate protection. AI, powered by machine learning algorithms and neural networks, enables the analysis of vast datasets to detect …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 103–112 Read article
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Virtual Method to Predict Dental Disease
Abstract: The integration of technology and medicine in the healthcare domain has led to the emergence of inventive strategies to improve patient care and diagnostics. One such groundbreaking methodology is the utilization of Convolutional Neural Networks (CNNs) within the domain of deep learning, particularly for image recognition and processing tasks. In this paper, we propose a novel approach to image recognition that employs state-of-the-art deep learning algorithms to create a user-friendly …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 8–15 Read article
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**Innovation and Quality Assurance in School Management: A Research Study on Indian Schools in the Context of NEP 2020**
Abstract: The quality of school education is strongly influenced by the efficiency and vision of school management practices. In today’s rapidly changing educational landscape, schools are expected to perform responsibilities that extend beyond routine administration. They must ensure academic excellence, learner well-being, value- based education, inclusion, transparency, and accountability to parents and society. However, many schools still function through traditional management patterns that focus mainly on record-keeping, examination routines, and compliance …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 16, Issue 1, 2026 · pp. 29–36 Read article
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Hybridization of Photovoltaic Panels and Thermoelectric Generators: Energy Efficiency Improvement
Abstract: Heat removal from PV panels has been revealed as a feasible and operational solution to reduce the temperature of the panel and increase energy efficiency. In this paper, the use of a thermoelectric generator (TEG) attached to the photovoltaic panel is proposed. A set of Peltier cells has been designed, built, and coupled to the rear side of a PV panel to remove the heat flow generated at the PV …
Published in Journal of Microwave Engineering and Technologies · Vol. 9, Issue 3, 2022 · pp. 29–46 Read article
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Marine Fleet And Container Transportation In Marine Terminals And Its Effect On Increasing Products
Abstract: The advancement of technology has made sea container terminals become complex infrastructures to manage, so this should be studied and investigated by analysts and transportation experts through improving the efficiency and performance of the container terminal. However, the large number and variety of logistical activities gathered together is a major obstacle to effective decision-making processes. In most cases, logistic processes in this field are considered as NP-hard problems. In addition, …
Published in Journal of Materials & Metallurgical Engineering · Vol. 14, Issue 2, 2024 · pp. 21–27 Read article
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Digital Resurrection: Restoring Fragile Documents with OCR
Abstract: In creating a typical Optical Character Recognition (OCR) system, several steps are involved, such as preprocessing, segmentation, feature extraction, and classification. Preprocessing, which is a particularly interesting and challenging aspect of Document Analysis and Recognition (DAR), deals with converting scanned or photographed images containing machine-printed or handwritten text, including numbers, letters, and symbols, into a format that the system can understand. Segmentation is a crucial task in any OCR system, …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 2, 2024 · pp. 29–35 Read article
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Optimized Web-based Online Food Ordering System: Design and Implementation
Abstract: Online food ordering systems have undergone a profound metamorphosis with the advent of digital technologies, catalyzing a pivotal shift in the operational dynamics of the gastronomic sector. This paper elucidates the conceptualization, design, and implementation of an advanced, web-based food ordering system, meticulously engineered to elevate the efficiency and sophistication of food service operations. Employing the rigorously structured Systems Analysis and Design Methodology (SSADM), this system represents a transformative departure …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 2, 2024 · pp. 1–25 Read article
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Develop a Data Science Approach for Optimizing Energy Consumption
Abstract: Optimizing energy consumption has become a critical challenge in the era of sustainability and increasing energy demand. Efficient energy management is essential to address environmental concerns, reduce costs, and ensure resource availability for future generations. This project leverages data science techniques to evaluate and improve energy consumption across diverse sectors, including residential, industrial, and commercial domains. By integrating advanced analytics, machine learning models, and real-time data processing, the project aims …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 31–44 Read article
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Use of Modern Techniques in Library and Information Centers
Abstract: The integration of modern techniques in libraries and information centers has significantly revolutionized the way information is accessed, managed, and disseminated. Advancements in technology have moved libraries beyond their traditional roles as book repositories, enabling them to serve as dynamic information hubs. Automated Library Systems (ALS) have streamlined processes such as cataloging, circulation, and acquisitions, making it easier for patrons to search and access materials Radio Frequency Identification (RFID) technology …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 1, 2025 · pp. 57–61 Read article
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Fabrication and Multi scale Characterization of Functionally Graded Composites Reinforced with Hybrid Ceramic–Metallic Phases
Abstract: Using composite materials as functionally graded composites (FGM) can improve its excellent material properties. In this work, magnesium peroxide, silicon carbide, and aluminum are used to create four-layer FGMs. The sintering process, which blends the particles of each material using a powder methodology, has been used to complete the fabrication process. Three factors, including sintering time, sintering temperature, and compacting pressure, are taken into account when fabricating FGM. The FGM …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 2, 2025 · pp. 1–11 Read article
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Greener 3D Printing: The Role of Artificial Intelligence in Sustainable Polymer and Composite Manufacturing
Abstract: The integration of sustainable materials with additive manufacturing (AM) technologies marks a significant step towards environmentally responsible production. Biodegradable polymers, recycled thermoplastics, and bio-based composites, when used in 3D printing, offer the potential to reduce the ecological footprint of manufacturing. However optimizing the interplay between material properties process parameters, and product performance remains a complex challenge. This review examines how artificial intelligence (AI) is being applied to address these challenges …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 288–300 Read article
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A Review on Transforming Patient Pathways: The Impact of Pharmaceutical Software on Drug Manufacturing and Safety Monitoring
Abstract: The development, production, and safety monitoring of pharmaceuticals are being revolutionized by incorporating digital technologies. Throughout drug lifecycles, pharmaceutical software which includes cloud-based systems, automation, data analytics, and artificial intelligence (AI) has emerged behind efficiency and innovation. Real-time monitoring, predictive maintenance, and process optimization are made possible in manufacturing by software tools like Digital Twins, Manufacturing Execution Systems (MES), and Quality Management Systems (QMS). These technologies improve batch consistency, lower …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 40–46 Read article
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A Combined Molecular Docking Analysis of The Phytochemicals of Ginkgo biloba against The Parkin Protein Target (Autoinhibited Parkin Catalytic Domain)
Abstract: This study's goal is to evaluate the specific therapeutic targets for Parkinson's disease (PDB ID: 4BM9) using molecular docking simulation and ADME analysis against bilobalide, quercetin, ginkgolide B, and protocatechuic acid (3,4-Dihydroxybenzoic acid). The Protein Data Base was used to extract theprotein's three-dimensional structure, and the PubChem database was used to retrieve the ligands. Using Auto-Dock Tools-1.5.7, a molecular docking simulation of the compounds was carried out. Since none of …
Published in Journal of Catalyst & Catalysis · Vol. 10, Issue 1, 2023 · pp. 1–9 Read article
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Effect of TIG Welding Parameter of Welded Joint of Stainless Steel SS304 by TIG Welding
Abstract: TIG welding of stainless steel sheets depends on a large number of factors. Due to practical constraints, four dominant parameters were considered during experimental investigation. The values of the parameters were selected on the basis of material characteristics and equipment available in the industry for experimentation. The existing process of welding the hoarding pipes was studied. Design of experiments technique was used for planning the experiments. Optimum welding parameters were …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 3, 2018 · pp. 18–27 Read article
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Water Footprint for Integrated Steel Plant—JSW Steel Ltd, Ballari
Abstract: Abstract Due to industrialization, there is an increase in the consumption of fresh water, but water is a finite resource. It is necessary to account the quantity of water use and water consumption as well as impact of production process on the water resources. Water footprint study is conducted for JSW Vijayanagara, for sustainability development. Water footprint is an indicator of fresh water consumption, expressing the environmental impacts, not only …
Published in Journal of Water Pollution & Purification Research · Vol. 4, Issue 2, 2017 · pp. 24–32 Read article
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An Introduction of Computational Fluid Dynamics Methods and Frameworks
Abstract: The theoretical fluid dynamics code is used to model the primary natural circulation loop of the proposed small modular reactor for reference to experimental evidence and best-estimated thermal-hydraulic code performance. Latest developments in computational fluid dynamics code simulation capabilities allow them desirable alternatives to the existing cautious method coupled to best guess thermal hydraulic codes and ambiguity assessments. The findings of the numerical fluid dynamics study are compared to the …
Published in Journal of Aerospace Engineering & Technology · Vol. 10, Issue 3, 2020 · pp. 19–23 Read article