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1059 articles for “Model optimization”
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Pharma Tech: Leveraging Software for Drug Development & Clinical Research
Abstract: The pharmaceutical sector is progressively adopting software solutions to enhance the drug development process and optimize clinical research results. Drug development is a time-consuming, expensive, and intricate process that traditionally requires extensive laboratory research, preclinical testing, and several stages of clinical trials. Software tools are revolutionizing these stages by improving efficiency, minimizing errors, and speeding up timelines. During preclinical testing, predictive software tools are used to model toxicological effects and …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 1, 2025 · pp. 11–19 Read article
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Introducing New Operating Systems for Computer
Abstract: This study introduces new operating systems (OS) designed to meet the evolving demands of modern computing environments. As technology progresses, the limitations of traditional operating systems in terms of efficiency, security, and scalability have become evident. The proposed new OS models aim to address these challenges by incorporating advanced features such as optimized resource management, enhanced security protocols, and improved user interfaces. Additionally, these systems leverage emerging technologies like artificial …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 1, 2025 · pp. 37–47 Read article
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Advancements in Humanoid Robot Locomotion: A Review of Control Strategies and Kinematic Models
Abstract: Humanoid robot locomotion has significantly improved over the past few decades, driven by improvements in control strategies and kinematic models. Researchers aim to develop robots that can walk, run, and navigate complex terrains with efficiency and stability. This review explores recent developments in humanoid locomotion, highlighting control strategies such as model predictive control, reinforcement learning, and central pattern generators. Additionally, it examines kinematic models, including inverted pendulum models and zero …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 1, 2025 · pp. 24–30 Read article
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Biopolymer–Cement Hybrid Panels from Recycled Paper Mill Reject: Experimental Characterisation and Machine Learning Optimization
Abstract: The increased rate of the accumulation of industrial residues in the developing countries is a major cause of concern for the environment. The current study brings forth the use of industrial residues in the form of the production of eco-friendly building materials as a sustainable approach to their valorization. The valorization of recycled paper mill reject, a cellulose-based biopolymeric industrial residue, is being addressed in this study as a reinforcement …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 67–90 Read article
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Performance of Water Injection in Oil Rim Reservoir Recovery Factor
Abstract: This study examines the potential improvements in recovery factors in optimizing oil production from oil rim reservoirs through water injection and without water injection (i.e. primary production) scenarios in the development strategies of the oil rim reservoirs. A generic simulation model developed from ECLIPSE dynamic simulator was used as core representative of oil rim reservoirs to experiment production optimization with and without water injection. Reservoir data of permeability, oil rim …
Published in Journal of Petroleum Engineering & Technology · Vol. 4, Issue 3, 2014 · pp. 31–38 Read article
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Harnessing IoT for Water Quality Surveillance and Management
Abstract: This paper provides an overview of IoT technology's integration in water quality management, focusing on real time monitoring of key parameters like pH, dissolved oxygen, turbidity, and temperature. Since it directly affects people's health and well-being, agriculture's viability, and the preservation of our natural environment, water quality is extremely important. However, as the world's population and industrialization grow, so does the need for water sources, making maintaining their purity extremely …
Published in Recent Trends in Fluid Mechanics · Vol. 10, Issue 3, 2023 · pp. 27–35 Read article
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Strength Prediction and Optimization of Portland Limestone Cement Blended with Metakaolin and Rice Husk Ash
Abstract: This study explores the effects of Rice Husk Ash (RHA) and Metakaolin (MK) on the compressive strength of Portland Limestone Cement (PLC) mortar, aiming to promote sustainable construction materials. RHA and MK, derived from agricultural and industrial byproducts, serve as supplementary cementitious materials (SCMs) that offer environmental benefits and improve cement properties. Using response surface methodology (RSM) and central composite design (CCD), the research optimized the ternary blend of PLC, …
Published in International Journal of Minerals · Vol. 2, Issue 1, 2025 · pp. 1–14 Read article
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Optimization of Process Parameter in 3D Printing to Minimize Wear Loss and increase Tensile Strength
Abstract: Additive Manufacturing (AM) and especially Fused Deposition Modeling (FDM) has emerged as a very versatile process of manufacturing polymer components with complex and highly-integrated geometries. Polylactic Acid (PLA) is a favorite of the many thermoplastic FDM materials because of its biodegradability, easy processing and predictable mechanical properties. The study aimed at maximizing critical parameters in FDM process in order to reduce wear loss and also increase tensile strength of PLA …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 849–858 Read article
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Advances in Biological Systems Modeling for Predicting Drug Effects in Chronic Disease
Abstract: Biological systems modeling has emerged as a promising tool for understanding and predicting the effects of drugs in the treatment of chronic diseases. Chronic diseases, such as diabetes, cardiovascular diseases, and neurodegenerative disorders pose significant challenges to traditional drug development due to their complex, multifactorial nature. Systems biology approaches, which integrate computational modeling with experimental data, provide a holistic view of disease mechanisms and treatment responses. This review explores recent …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 1, 2025 · pp. 17–22 Read article
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Balance Truncation Method for Order Reduction of Interval System
Abstract: Abstract: Examination of higher order interval system is an attractive area for research. It demands a suitable approach to decrease them to its lower approximation. This paper goes to accomplish the necessity by introducing Balance Truncation technique for reducing the original system. The algorithm may be used for reducing the order of the unstable system and we are fruitfully attaining stable reduced order models. The reduction method is to study …
Published in Recent Trends in Electronics Communication Systems · Vol. 6, Issue 1, 2019 · pp. 1–7 Read article
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Deep Reinforcement Learning-Based Intelligent Energy Management Strategy for Battery–Supercapacitor Hybrid Energy Storage Systems in Electric Vehicles
Abstract: As the number of EVs increases, smart solutions for energy management are needed that will optimize energy use, prolong battery life and boost vehicle performance. The application of conventional rule based and optimization-based Energy Management Strategies (EMS) for Battery–Supercapacitor Hybrid Energy Storage Systems (HESS) often leads to sub-optimal power management, supercapacitor mismatch and battery degradation when subjected to varying driving conditions. This study aims to design an intelligent energy management …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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A Lightweight Cost-Sensitive Explainable Ensemble Framework for Early Heart Disease Risk Prediction
Abstract: Cardiovascular disease is still one of the leading causes of death, and hence, the early prediction of risk is a very important task in preventive medicine. Although recent studies have shown encouraging results in the application of machine learning algorithms to the prediction of heart disease, it has been noticed that most of the algorithms are more concerned with accuracy-driven optimization than the concerns of safety and false negatives. In …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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Sulfur recovery process simulation and optimization
Abstract: Objective of this work is to simulate the sulfur recovery process by using the latest version of Aspen HYSYS V10 simulation program. Sulfur recovery model used in the simulation program is Claus three stage process. A total recovery of 97.85% sufur was recovered from the rich acid gas feed. The effects of H2S/SO2 ratio, outlet sulfur dew point margin, catalytic stage temperature, CS2 and COS concentrations, role of catalyst, acid …
Published in Emerging Trends in Chemical Engineering · Vol. 5, Issue 3, 2018 · pp. 32–40 Read article
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Implementing Machine Learning in Data Classification
Abstract: Data classification forms an essential aspect of artificial intelligence (AI) and soft computing, helping a great deal in the transformation of raw data into knowledge that forms the basis of numerous applications, such as fraud detection, medical diagnostics, and natural language processing. This study discusses the challenges and the state of the art in data classification, as far as scalability, noise handling, and feature selection optimization are concerned. It gives …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 15–22 Read article
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Intelligent Planning of Transmission Networks: Addressing Uncertainties Through Artificial Intelligence
Abstract: Power grid planning is a critical aspect of power grid topology, traditionally relying on manual methods that are prone to various uncertainties. These uncertainties, both subjective (stemming from human judgment) and objective (resulting from data limitations), can significantly affect the reliability and efficiency of the planning process. This paper presents an artificial intelligence (AI) method aimed at improving the smart planning of transmission networks. By utilizing AI, the proposed method …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 40–46 Read article
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Influence of Aspect Ratio on the Mechanical and Tribological Properties of Vertical Centrifugal Cast Aluminium Silicon Alloy
Abstract: To get a sound cast of precise shape and size in the vertical centrifugal casting process, the flow behavior of the melt and process parameters such as aspect ratio of the mould, rotating speed, volume fraction, etc. must be optimized. The optimal parameters of the vertical centrifugal casting process derived from past cold modelling studies in casting of Al-12%Si alloy are investigated in this paper. Casts were obtained using 7 …
Published in Journal of Polymer & Composites · Vol. 11, Issue 13, 2023 · pp. 104–111 Read article
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Optimization of Tensile and Flexural Properties of PETG Filament in FDM 3D Printing Using Response Surface Methodology
Abstract: Now a days manufacturing trend has been changed from subtractive to additive. In additive manufacturing (3D Printing), layer by layer deposition occurs and final product can be obtained. The main advantages of additive manufacturing is to obtain customized product, complex geometry product. This research investigates the optimization of tensile and flexural Strength of PETG filament in Fused Deposition Modeling (FDM) 3-d printing by using of Response Surface Methodology (RSM). Specimens …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 39–58 Read article
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Nanofluids: Advanced Synthesis Methods, Innovative Applications, and Future Directions
Abstract: Nanofluids, a novel mixture of nanoparticles and base fluids, is an innovative blend that has appeared as a transformative advancement in heat transfer and thermal management technologies. This study is going to discuss advanced synthesis methods, properties, and extensive applications of nanofluids in various fields, such as biomedical engineering, electronics cooling, solar energy, and machining. Optimization techniques such as nanoparticle selection, concentration control, and computational fluid dynamics modelling are also …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 1–11 Read article
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Next-Generation Catalysts: Enhancing Efficiency and Selectivity in Chemical Reactions
Abstract: This study investigates the fundamental principles of coatings and their rejuvenation mechanisms, focusing on the development of advanced coatings that not only protect but also restore the performance of degraded surfaces. The article delves into the various types of coatings, including organic, inorganic, and hybrid formulations, emphasizing their distinct characteristics and applications. A significant portion of the study is dedicated to the mechanisms of rejuvenation, where we analyze how specific …
Published in Journal of Catalyst & Catalysis · Vol. 11, Issue 3, 2024 · pp. 24–28 Read article
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AI and IoT in Sustainable Agriculture: A Review
Abstract: Artificial Intelligence (AI) and Internet of Things (IoT) integration have transformed the world of sustainable agriculture, presenting new ways of resource optimization, increasing crop yields, and making environmental sustainability more accessible. The current literature review analyzes the applications of AI and IoT in three significant agricultural systems: aquaponics, hydroponics, and poultry farming. By critically analyzing recent studies, this paper emphasizes how deep learning- enabled computer vision techniques allow for the …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 2, 2025 · pp. 32–45 Read article