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629 articles for “Computation”
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Synthetic Biology in Industrial Biotechnology for Livestock: Designing and OptimizingNext-Generation Bioprocesses for Sustainable Animal Production and Health
Abstract: Synthetic biology has emerged as a transformative discipline in industrial biotechnology, enabling the rational design and engineering of biological systems for efficient and sustainable production of fuels, chemicals, enzymes, pharmaceuticals, and biomaterials. Unlike traditional genetic engineering, synthetic biology focuses on constructing gene circuits, modular metabolic pathways, and standardized biological parts to precisely control cellular metabolism. Advanced genome editing tools such as CRISPR, combined with computational biology and bioinformatics, allow rapid …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 12, Issue 1, 2026 Read article
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Synthetic Biology in Industrial Biotechnology for Livestock: Designing and OptimizingNext-Generation Bioprocesses for Sustainable Animal Production and Health
Abstract: Synthetic biology has emerged as a transformative discipline in industrial biotechnology, enabling the rational design and engineering of biological systems for efficient and sustainable production of fuels, chemicals, enzymes, pharmaceuticals, and biomaterials. Unlike traditional genetic engineering, synthetic biology focuses on constructing gene circuits, modular metabolic pathways, and standardized biological parts to precisely control cellular metabolism. Advanced genome editing tools such as CRISPR, combined with computational biology and bioinformatics, allow rapid …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 12, Issue 1, 2026 Read article
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AI-Enabled IV Infusion Monitoring Device for Real-Time Nursing Care Optimization
Abstract: Intravenous (IV) infusion therapy is an essential component of modern healthcare, widely used for administering fluids, medications, and nutrients in clinical settings. However, traditional infusion monitoring methods rely heavily on manual observation by nursing staff, which increases the risk of human error, delayed interventions, and excessive workload. The integration of Artificial Intelligence (AI) into IV infusion systems has introduced a transformative approach to real-time monitoring, predictive analytics, and automated alert …
Published in International Journal of Nursing Critical Care · Vol. 12, Issue 1, 2026 · pp. 10–18 Read article
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A Comprehensive Review of Transportation Network Design and Congestion Modeling: Methods, Challenges, and Emerging Trends
Abstract: Abstract As urbanization and travel demand continue to grow rapidly, traffic congestion has emerged as a widespread issue worldwide. The design of transportation networks and the modeling of congestion are essential disciplines that provide foundational tools for analyzing, predicting, and mitigating congestion impacts. This review complies key theories, modeling frameworks, optimization techniques, and algorithms used in network design and congestion modeling. We discuss static and dynamic models, equilibrium concepts, congestion …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
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Development of a Simplified Predictive Equation for Foundation Depth Using Soil and Load Parameters
Abstract: Abstract- This study presents the analysis and design of shallow foundations subjected to vertical and lateral loads, considering the self-weight of structural elements and soil bearing capacity. Two loading cases are examined to evaluate the stability and suitability of foundation dimensions. In the first case, a column load of 120 t is considered, with an additional self-weight of 2.40 t, resulting in a total load of 122.40 t. Including 10% …
Published in International Journal of Structural Engineering and Analysis · Vol. 12, Issue 1, 2026 Read article
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THE EFFECT OF STAND OFF DISTANCE AND BLAST YIELD OVER STRUCTURE IN BLAST TEST
Abstract: Abstract Explosive loads have garnered a lot of attention lately because of numerous unintentional and deliberate occurrences that have affected important structures all over the world. As a result, there has been a lot of research in this area over the last ten years. Although the majority of the early studies were empirical, more recent studies have progressed into thorough and organised studies that focus on understanding the behaviour of …
Published in International Journal of Structural Engineering and Analysis · Vol. 12, Issue 1, 2026 Read article
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Advances and Emerging Trends in Classical and Modern Thermodynamics.
Abstract: Thermodynamics, as a foundational discipline of physical science, has continually evolved from its classical roots to modern, interdisciplinary applications. Classical thermodynamics established the laws governing energy, entropy, and equilibrium, providing the framework for analyzing heat engines, refrigeration cycles, and chemical processes. Recent advances have expanded these principles into new domains, integrating statistical mechanics, quantum theory, and non‑equilibrium systems. Emerging trends highlight the role of thermodynamics in nanoscale and quantum technologies, …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 12, Issue 1, 2026 · pp. 1–8 Read article
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Processing–Structure–Property Relationships in Advanced Manufacturing of Functional Materials
Abstract: AbstractMechanical processing is very important in modern production since it changes raw materials into usable parts with exact sizes and qualities. This article looks at the basic methods of mechanical processing, such as cutting, shaping, grinding, milling, and joining. It also talks about how important these methods are for getting things done quickly, accurately, and with the least amount of material possible. Recent advancements, including computer numerical control (CNC) machining, …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 2, 2025 · pp. 25–34 Read article
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Artificial Intelligence for the Art and Science of Separation: Optimizing Chemical Systems
Abstract: Chemical separation processes play a critical role across chemical manufacturing, energy production, pharmaceuticals, and environmental remediation, yet they remain among the most energy-intensive operations in modern industry. Recent advancements in artificial intelligence (AI) offer transformative opportunities to significantly improve the efficiency, selectivity, and sustainability of these systems by leveraging computational power and data-driven insight. This article reviews the emerging integration of machine learning, data-driven modeling, and advanced optimization algorithms with …
Published in International Journal of Chemical Separation Technology · Vol. 11, Issue 2, 2025 · pp. 1–7 Read article
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The Future of Radar Antenna Design: A Study
Abstract: Radar antennas are the critical interface between the electronic heart of a radar system and theelectromagnetic waves that probe the environment, acting as the system's "eyes and ears." Theirdesign is a multi-faceted engineering challenge, inherently balancing often-conflictingrequirements to optimize performance across incredibly diverse applications – from long-rangesurveillance and air traffic control to autonomous vehicle sensing and precise weatherforecasting. This abstract introduces the fundamental principles and intricate considerationsgoverning radar antenna design, …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 2, 2025 · pp. 43–51 Read article
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Recent Changes in the Signal System
Abstract: Recent years have seen big improvements in signal systems, thanks to fast progress in communication technologies, artificial intelligence, and hardware capabilities. Signal systems are very important for modern technology. They are the basis for many different uses, including telecommunications, transportation, industrial automation, and medical diagnostics. Signal systems are all about making, sending, processing, and understanding signals, whether they are analogue or digital, so that information may be shared easily. As …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 2, 2025 · pp. 1–8 Read article
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Chemical Engineers at the Nanoscale: MakingNanomaterials That Work
Abstract: The convergence of chemical engineering and nanotechnology has created revolutionary prospects in material design, catalysis, energy storage, and biomedical applications. This article examines the changing responsibilities of chemical engineers in the creation and development of functional nanomaterials – substances designed at the molecular or atomic level to exhibit specific characteristics and functions. The article discusses important synthesis methods such as sol–gel processing, chemical vapor deposition, and self-assembly. It also talks …
Published in International Journal of Chemical Engineering and Processing · Vol. 11, Issue 2, 2025 · pp. 14–27 Read article
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Artificial Intelligence Applications in Mechanical Engineering: A Pathway to Industry 4.0
Abstract: Abstract— The emergence of Industry 4.0 signifies a groundbreaking change in the industrial landscape, propelled by the integration of cyber-physical systems, the Internet of Things (IoT), and artificial intelligence (AI). This period represents the convergence of digital technologies with conventional manufacturing practices, resulting in the development of intelligent, interconnected, and autonomous production settings. For mechanical engineering—traditionally focused on physical systems, manual design, and empirical approaches—this shift has brought about an …
Published in International Journal of Mechanics and Design · Vol. 11, Issue 2, 2025 · pp. 1–6 Read article
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Mathematical and statistical analysis of operational data from transportation systems that impact the final result of greenhouse gas emissions and other atmospheric pollutants
Abstract: Abstract The main objective of this study is to identify which mathematical and statistical models are used to forecast greenhouse gas emissions and other atmospheric pollutants from transportation systems. The research demonstrates how mathematical and statistical tools are used to identify and anticipate future scenarios from an environmental perspective, thus contributing to better solutions for mitigating increased emissions. The research concludes that mathematical and statistical models can more accurately anticipate …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 2, 2025 · pp. 14–18 Read article
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Influence of Soil-Structure Interaction on Seismic Response of Vertically Irregular Reinforced Concrete Frames
Abstract: Abstract – Present study focus on the behavior of RC frames by performing Equivalent Static and Linear Dynamic Analysis. A reinforced concrete frame having G+10 storey was considered. The investigation on the behavior of RC frame is carried out by using dynamic analysis i.e., Response Spectrum method. The modeling of RC frame is carried out by using finite element-based computer program i.e., STAAD.Pro. The investigation is carryout by considering Strength …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 11, Issue 2, 2025 · pp. 26–35 Read article
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Automated Image Captioning Using Xception–CNN and LSTM for Descriptive Sentence Generation
Abstract: Generating descriptive texts for images is a complex and challenging task that requires advanced deep learning techniques. This paper presents a descriptive sentence generator for images using a combination of convolutional neural networks and recurrent neural networks. The proposed model utilizes a pretrained convolutional neural network, Xception, to extract image features, which are then processed by a long short-term memory network to generate meaningful textual descriptions. The model is trained …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 20–28 Read article
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Cloud Security Using Machine Learning: A Study
Abstract: The rapid adoption of cloud computing has revolutionized IT infrastructure, offering unprecedented scalability, flexibility, and cost efficiency. However, this paradigm shift introduces a new spectrum of sophisticated security challenges that traditional, signature-based security mechanisms often struggle to address effectively given the dynamic, multi-tenant, and distributed nature of cloud environments. This paper explores the critical role of Machine Learning (ML) as a potent paradigm for strengthening cloud infrastructure. ML emerges as …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 2, 2025 · pp. 21–30 Read article
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Review On Bipolar Plate Geometric Design and Materials for Proton Exchange Membrane Fuel Cell Applications
Abstract: Abstract Bipolar plates (BPs) are vital components in proton exchange membrane fuel cells (PEMFCs), performing multiple essential functions that directly influence system efficiency, durability, and overall operational performance. They ensure uniform distribution of reactant gases across the active area, provide electrical conductivity between adjacent cells, assist in effective thermal management by dissipating heat generated during electrochemical reactions, and maintain proper sealing to prevent leakage of gases and coolant. Among these …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 11, Issue 2, 2025 · pp. 40–56 Read article
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A Review on Design and Analysis Model for Detectionand Classification of Lung Diseases Using Medical Images
Abstract: A key component of the human respiratory system, the lung regulates blood oxygen levels through gasexchange. Diseases linked to the lungs are becoming more common as pollution levels rise. In order topreserve human life, it is crucial to identify lung disorders early. In order to forecast lung disease, clinicalprofessionals analyze medical imaging, such as CT or X-rays. Clinicians identify lung disease by applyingtheir medical expertise and knowledge. Because expert knowledge …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 Read article
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Molecular Docking of Catharanthus Roseus Bioactive Compounds of Targetinging Bovine Leukaemia Virus
Abstract: Therapeutic potential of Catharanthus roseus bioactive compounds as the 4PHO protein inhibitors, a pathogenetic determinative factor of BLV. This work describes the use of computational drug discovery approaches in estimating the interactions conducted between 40 phytocompounds of Catharanthus roseus and the 4PHO protein. Our work has determined the presence of Pamoic acid and Vindolinine hydrochloride as the optimal choice here. Pharmacokinetic screening exhibited drug-like properties to both the highly absorbed …
Published in International Journal of Animal Biotechnology and Applications · Vol. 11, Issue 2, 2025 · pp. 19–31 Read article