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1915 articles for “process development”
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Revolutionizing Cancer Diagnosis: Unleashing the Tab Transformer's Power for Accurate Classification
Abstract: Gene expression platforms offer vast amounts of data that can be utilized for investigating diverse biological processes. However, the presence of redundant and irrelevant genes makes it challenging to identify crucial genes from high-dimensional biological data. To overcome this obstacle, researchers have introduced different feature selection (FS) methods. Developing more efficient and accurate feature selection techniques is essential for selecting important genes in complex biological information with multiple dimensions. In …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 2, 2023 · pp. 24–38 Read article
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Development of Environmentally Friendly Concrete by Incorporating Rubber and Leather Waste
Abstract: The valorization of post-consumer polymeric waste into high-performance composite materials offers a sustainable strategy for advancing circular economy principles and reducing environmental impacts.This study investigates the feasibility of utilizing recycled crumb rubber from end-of-life tires and leather-derived polymeric waste from the footwear industry as sustainable fillers in polymer-modified cementitious composites. Crumb rubber and processed leather waste were incorporated as partial replacements for natural fine aggregate at replacement levels of 0%, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 547–563 Read article
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Formulation of Load Chart Table for Precast Prestressed Double Tee Slab
Abstract: The increasing demand for office buildings, shopping malls, industrial facilities, and residential structures underscores the necessity for rapid construction systems. Among these, precast concrete structures have gained traction in the construction industry, with beam-to-column/wall connections playing a crucial role. Precast prestressed T-slabs, primarily used as floor slab elements, offer advantages such as longer spans (up to 12 m to 15 m) and simplified construction processes due to their one-way slab …
Published in Journal of Structural Engineering and Management · Vol. 11, Issue 1, 2024 · pp. 42–53 Read article
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Signal Drift Compensation in Polymer-Based Wearable Biosensors Using Data Processing Techniques
Abstract: Polymer-based wearable biosensors have emerged as promising platforms for continuous physiological monitoring due to their mechanical flexibility, low operating voltage, and compatibility with soft biological interfaces. However, their long-term deployment remains challenging because of signal drift caused by polymer ageing, hydration–dehydration cycles, ionic trapping, and environmental variations. These effects introduce baseline fluctuations and sensitivity degradation, which compromise the reliability and interpretability of physiological measurements. This study proposes a data-processing–driven framework …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 197–207 Read article
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Power Estimation Approach for Artix 7 FPGA using Machine Learning Technique
Abstract: Abstract This paper presents the power estimation approach using a suitable machine learning technique. Artix7 FPGA has been chosen as the target FPGA (Field Programmable Gate Arrays) platform for understanding the methodology of power estimation. There are various approaches of power estimation for FPGAs that have been given in the literature viz. probabilistic, statistical, and LUT-based, etc. In the past few years, the demand for hand-handled devices like smartphones, tabs, …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 1, 2021 · pp. 1–5 Read article
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Nanoyeast Supported on Silica Gel for The Continuous Flow Bioethanol Production
Abstract: Nanomaterials outperform their bulk counterparts. Yet, production of nanomaterials, especially, nanoyeast is a challenge and is an upcoming field. Yeast is a fungal strain that consumes carbohydrates (glucose, sucrose, molasses and the like) and produces bioethanol, a potential transportation fuel. Impregnation methods are well known in catalysis to yield nanomaterials via better dispersion. An attempt has been made to modulate the size of yeast to increase the efficiency of carbohydrate …
Published in International Journal of Advance in Molecular Engineering · Vol. 2, Issue 1, 2024 · pp. 1–7 Read article
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Intellectual Brilliance: Patents and Copyrights in Publications
Abstract: Intellectual property rights play a vital role in safeguarding creativity and innovation, with copyrights and patents being fundamental tools in this process. This study offers an in-depth exploration of these concepts, focusing on their processes, importance, and practical applications, particularly within the healthcare sector. By delving into the nuances of intellectual property, provides valuable insights into how these rights empower creators and innovators to protect their contributions and further global …
Published in International Journal of Sustainability · Vol. 1, Issue 2, 2024 · pp. 6–11 Read article
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The Significance and Applications of Parallel Computing in the Modern Era
Abstract: This article explores the advancements in parallel computing, focusing on its applications in various domains such as scientific simulations, big data analytics, artificial intelligence, and real-time processing. We discuss the architectural shifts from traditional single-core processors to multi-core and many-core systems, along with the role of graphics processing unit (GPU)-based computing and specialized hardware like tensor processing units (TPUs) and field programmable gate arrays (FPGAs). Furthermore, the article examines contemporary …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 1, 2025 · pp. 24–38 Read article
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Web-Based Placement Management System: A Digital Approach to Campus Hiring
Abstract: Web-based management system for placement is a complete digital platform focused on optimizing and automating the activities of campus recruitment. Placement activities are generally manual in nature and require a lot of work, which brings about inefficiencies and time lags involving students, recruiters, and placement coordinators. Such challenges are faced by the above-mentioned system that provides a single point of convergence for all students and employers, as well as coordinators, …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 18–29 Read article
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Fault Detection in Solar PV Systems Integrated with the Power Grid: Evaluating Logistic Regression through Confusion Matrix Analysis
Abstract: This paper proposes a method for failure detection in grid-integrated solar photovoltaic (PV) systems using logistic regression and real-time sensor data. The approach effectively classifies and identifies seven distinct fault types. The developed model demonstrates a high fault identification accuracy, ranging from 93% to 96.5% across various fault types and operational conditions. By leveraging logistic regression, the system utilizes key independent variables that significantly influence the classification process. Additionally, the …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 2, 2025 · pp. 45–52 Read article
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Role of Beowulf Clusters in Next-Generation Military Applications: A Comprehensive Study
Abstract: Beowulf clusters, which utilize cost-effective commodity hardware combined with open-source software for parallel computing, have emerged as a viable and efficient solution for high-performance computing needs. This paper explores their growing relevance and practical applications in modern and future military technologies. Contemporary military operations increasingly rely on rapid data processing, real-time intelligence, high-fidelity simulations, and autonomous decision-making systems. Beowulf clusters offer scalable and adaptable computational power that supports these demands …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 01–07 Read article
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Intelligent Earth: AI As A Catalyst For Climate Action
Abstract: Artificial Intelligence (AI) is assuming an increasingly influential role in climate science, providing advanced tools capable of interpreting vast, complex, and multi-dimensional environmental datasets. Traditional climate modeling approaches, while grounded in physical principles, frequently struggle to deliver high-resolution, real-time, and region-specific forecasts because of heavy computational demands, incomplete observations, and uncertainties in representing small -- scale processes. Artificial intelligence (AI) techniques, especially machine learning and deep learning, provide strong substitutes …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 48–52 Read article
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AI-Designed Functionally Graded Polymer Composites for Multifunctional Thin Films
Abstract: The design of multifunctional polymer composite thin films requires simultaneous optimization of mechanical, optical, barrier, and thermal properties—objectives often in conflict when using conventional homogeneous materials. This study presents an artificial intelligence-driven framework for designing functionally graded material (FGM) architectures in polymer nanocomposite thin films. We integrated machine learning with physics-based modeling to optimize compositional gradients across film thickness, achieving superior performance compared to homogeneous and discrete multilayer alternatives. A …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1026–1041 Read article
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Circadian Regulation of Lipid Peroxidation in the Brain: Linking Ferroptosis to Neurodegenerative Vulnerability
Abstract: The human brain operates through highly coordinated physiological and biochemical processes that regulate cognition, behavior, and neural adaptability. Central to these processes are mechanisms governing brain function, neurophysiology, and neuroplasticity, which are increasingly recognized to be influenced by circadian rhythms. Recent advances in cognitive neuroscience, neuroimaging, and behavioral neuroscience have revealed that disruptions in circadian regulation can significantly impact oxidative balance within the brain, particularly through enhanced lipid peroxidation. Lipid …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 · pp. 1–14 Read article
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Simultaneous Optimization of Multiple Performance Characteristics in MIG Welding for Machining AISI-304 Stainless Steel by Weighted Principle Component Analysis
Abstract: The effect of MIG welding parameters specifically Welding current, Voltage, Gas flow rate and Plate thickness during welding of AISI-304 stainless steel Material on MIG welding machine at different level presents in this work. All the welding parameters are modeled using Taguchi-based Principle Component Analysis (PCA). Principal component is used as multiple responses optimizing technique to drive optimal solution, which gives the overall quality index in experimental process, and finally …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 3, 2018 · pp. 77–85 Read article
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River Science Research: Multidisciplinary To Trans Disciplinary
Abstract: We are in the decay where water is important as well as complex concern of our day to day life. River is the main source of surface water. It’s merely essential to figure out the issues that will affect the river changes for successful river management. Due to enormously uncertain spatial; temporal multidimensional characteristic of river change it’s very difficult to give exact theoretical concept to address this issue. There …
Published in Journal of Water Resource Engineering and Management · Vol. 1, Issue 1, 2014 · pp. 15–19 Read article
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Sustainability of PPP Infrastructure Projects: Lessons from the Indian Experience
Abstract: Though the development of infrastructure projects either through private investment in case of public-private partnership (PPP) or using general funding, leads to the promotion of sustainable development (SD), but on account of giving more emphasis on the business interests of private sector there is the tendency of financial aspect taking precedence over the social and environmental aspects of sustainability. As a result, the infrastructure development through PPP route exhibits concerns …
Published in Recent Trends in Civil Engineering & Technology · Vol. 6, Issue 2, 2016 · pp. 1–10 Read article
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Enhancing Interview Preparedness: Development of A Comprehensive AI-Driven Mock Interview System
Abstract: In the contemporary era of virtual interviews, the need for a comprehensive system to prepare users for online interviews is imperative. Mock interviews serve as invaluable tools for enhancing confidence and communication skills, ultimately improving performance. This paper introduces a groundbreaking AI-Driven Mock Interview System (MIS) fortified with cutting-edge Natural Language Processing (NLP) methodologies, specifically targeting syntax and semantic analysis. The MIS integrates a robust JSON-based question- answer repository spanning …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 2, 2024 · pp. 19–25 Read article
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Harnessing Shell Scripting for Autonomous System Management: A Vision for the Future
Abstract: As IT systems become increasingly complex, the demand for efficient and automated management solutions is more critical than ever. This paper investigates the pivotal role of shell scripting in the development of autonomous systems that can self-manage and optimize their operations. Shell scripting, with its powerful automation capabilities, serves as a foundational tool for orchestrating various tasks, including system monitoring, data analysis, and deployment processes. We begin by examining current …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 3, 2024 · pp. 17–31 Read article
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Transforming IoT Connectivity Through VLSI Technology
Abstract: Device communication has been completely transformed by the emergence of the Internet of Things (IoT), and very large-scale integration (VLSI) has been essential to this change. The development of small, energy-efficient devices that are essential to IoT applications is made possible by VLSI technology, which allows thousands to millions of transistors to be integrated on a single chip. By enabling higher processing capabilities and seamless connectivity, VLSI not only enhances …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 2, Issue 2, 2024 · pp. 1–11 Read article