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1979 articles for “AC Analysis” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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A Molecular Docking Study: Targetting HIV-1 Integrase Protein Against Selected Phytocompounds from Calophyllum Lanigerum
Abstract: Objectives: The most common form of HIV that causes AIDS is HIV-1. The World Health Organization has estimated roughly 75 million plus HIV-1 infections till date and roughly 40 million deaths (as of 2021). Thus, this study was done to identify natural compounds from Calophyllum lanigerum, a medicinal plant largely endemic to South-East Asia, to inhibit the spread of this disease. It did so by using molecular docking methods, Lipinski …
Published in International Journal of Molecular Biotechnological Research · Vol. 1, Issue 2, 2023 · pp. 43–55 Read article
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Computational Investigation of Withania somnifera Compounds Targeting S. pombe SMN YG-Dimerin Spinal Muscular Atrophy: Insights from Molecular Docking Analysis
Abstract: Objectives: The primary objective of this study is to determine the potential of phytochemical constituents of Withania somnifera in treating spinal muscular atrophy, an autosomal recessive genetic neurodegenerative disorder, through computational techniques. To investigate the binding affinity of phytocompound to the target protein S. pombe SMN YG-Dimer through molecular docking. Besides, evaluating the pharmacological attributes of phytochemical constituents to assess their ability as an ideal prospect for developing therapeutic medication. …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 2, 2024 · pp. 39–52 Read article
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Simultaneous Optimization of MIG Welding Process Parameters Using Taguchi with Principle Component Analysis
Abstract: The aim is to verify the optimum parameters in MIG welding of mild steel for achieving the best result. The three parameters taken for welding are welding current (WC), welding speed (WS) and voltage (V) at three levels. The various parameters which have been used here are modeled by performing experiments in principal component analysis (PCA) based on Taguchi. On applying principle component analysis (PCA),all the input factors are converted …
Published in Journal of Experimental & Applied Mechanics · Vol. 10, Issue 3, 2019 · pp. 13–21 Read article
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Intergenerational Trauma and Cultural Resilience: Exploring the Impact of Family Norms on Mental Health Disclosure
Abstract: This comprehensive review examines how intergenerational trauma and cultural resilience influence individuals' choices to disclose or conceal their mental health challenges in family contexts. This paper utilizes 50 peer-reviewed studies out of 80 in total from various cultural contexts, this paper explores how family norms, especially in collectivist cultures, impact the disclosure of mental health issues. This review paper uses a thematic analysis strategy, systematically integrating qualitative, quantitative, and mixed-method …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 2, 2025 · pp. 53–58 Read article
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Application of B-trees for Design of Optimal Page Replacement Technique in Modern Operating Systems
Abstract: Algorithms related to replacing the memory pages in operating systems are critical components of modern operating systems that manage virtual memory efficiently. Current algorithms such as LRU (Least Recently Used), Clock algorithms as well as FIFO (First-In-First-Out), often struggle with the increasing demands of contemporary applications and larger memory hierarchies. This research work proposes a novel approach utilizing B-tree data structures to design an optimal page replacement technique. The proposed …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 23–30 Read article
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Speaker Recognition System Through Matlab
Abstract: This paper presents the work on the Speaker Recognition System through the MATLAB software. Speaker recognition means recognizing the person who is actually speaking rather than knowing what has been said. This system is widely used in banking, security systems, voice mail, etc. This paper presents three stages of the system, namely, the voice acquisition stage in which data (speech signal) is acquired from the speaker and is stored for …
Published in Current Trends in Signal Processing · Vol. 3, Issue 2, 2013 · pp. 26–29 Read article
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Enhancing Strength and Durability: A Study of Mortar Blocks with Steel Slag Incorporation and the Development of Steel Slag Lime and Cement Blocks
Abstract: This study is focused on investigating the strength and durability properties of mortar cubes made with slag cement and incorporating Ultra Fine Steel Slag (SS) as a potential replacement for natural fine aggregates (FNA). In some instances, the cement was entirely replaced with hydrated lime to develop the blocks. A battery of tests, including assessments of compressive strength, acid resistance, sulfate resistance, water absorption, and void analysis, were carried out …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 233–246 Read article
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Role of AI in waste reduction and energy efficiency
Abstract: Artificial Intelligence (AI) is a significant factor in today’s global trends toward sustainability, as it enables waste reduction and energy optimization. Sustainability is now a strategic priority for many manufacturers, local governments, and logistics companies due to the rising environmental awareness and regulatory pressures. This paper explores the role of AI in facilitating waste management, smart grids, and industrial maintenance and reviewing the existing literature on AI-driven recycling, e-waste management, …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 2, 2026 · pp. 43–48 Read article
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Analysis and Design of Cantilevered Steel False Work Systems Subjected to Earthquake Loads
Abstract: Construction of buildings with non-typical floors has been always problematic in extending the false work all over the height to support non-regular cantilevered slabs extending from upper floors. Cantilevered frames supporting formwork systems with no need for extending the false work along the height of the building have been recently designed in previous studies. However, the need to design such cantilevers in order to withstand dynamic loads has emerged. Within …
Published in Journal of Construction Engineering, Technology & Management · Vol. 6, Issue 3, 2016 · pp. 35–37 Read article
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ML Analysis of Factors Affecting Vaccination in Rural Children: A Machine Learning Approach
Abstract: Vaccination remains one of the most effective public health interventions for preventing childhood diseases, yet rural regions in India continue to experience uneven immunization coverage due to multiple socioeconomic and geographic barriers. This research applies machine learning techniques to identify and analyze the major determinants influencing childhood vaccination uptake in rural communities. The study utilizes survey-based demographic, socioeconomic, and healthcare-related parameters to build predictive models that classify children as vaccinated …
Published in International Journal of Vaccines · Vol. 3, Issue 2, 2026 Read article
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Gear-Related Stress Analysis and Comparison Between the Fem and Agma Standards
Abstract: In many different devices, gears enable the efficient transfer of motion and torque. They are an essential component of modern mechanical power transmission systems. It has been demonstrated that bending and surface contact stresses at the gear tooth are the primary causes of gear failure, despite their widespread use. Too much stress can lead to tooth wear, pitting, or breakage, which can ultimately reduce the operating life and reliability of …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 13–18 Read article
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Biomarkers in Cancer Research: Discovery and Future Directions
Abstract: Biomarkers have transformed the study of cancer, providing critical information regarding prognosis and therapy response and promoting earlier diagnosis. This paper discusses the different parts of cancer biomarkers, starting with their description, classification, and major types, which are the groundwork for understanding their clinical role. The discussion on the development and validation process of biomarkers is then undertaken, focusing on state-of-the-art techniques and the importance of ensuring accuracy and reproducibility. …
Published in Trends in Drug Delivery · Vol. 12, Issue 1, 2025 · pp. 22–26 Read article
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Thermal Conductivity and Energy Storage Performance of Paraffin Wax-Based Composites Reinforced with Amine Functionalized Graphene as a Nanofiller
Abstract: In this study, amine-functionalized graphene (AFG) was employed as a nanofiller/nanomaterial to enhance the thermal and structural properties of a paraffin wax (PW)-based polymeric composite, formulated as a phase change material (PCM). The PW/AFG composite was synthesized with varying nanofiller volume fractions (0.20%, 0.40%, 0.80%, and 1.60%), and its thermal conductivity, stability, and energy storage performance were systematically analyzed. The incorporation of AFG into the polymer matrix significantly improved the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 355–374 Read article
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Predicting and Prohibiting the Risk of Heart Failure Using Machine Learning
Abstract: It is challenging to estimate the likelihood of complex chronic disease while treating conditions like heart failure. The application of machine learning, an area of artificial intelligence, in cardiovascular care is growing quickly. In essence, it defines how computers classify and understand data, or choose a task with or without human intervention. The theoretical underpinnings of machine learning are models that accept input data (such as images or text) and …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 1, 2023 · pp. 15–20 Read article
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A Review on AI and Machine Learning for Predictive Maintenance and FDD in RAC Systems
Abstract: The paper reviews the existing AI/ML methods first in the general context of predictive maintenance and FDD of RAC systems, then specifically focusing on granular cooling appliances. Perspectives and insights are provided on the reasons why potentially valuable models do not make it into practice more often, and where future research and development should be headed. New emerging topics for decision support systems to include domain knowledge and physics-based modeling …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 13, Issue 1, 2026 · pp. 15–25 Read article
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Comprehensive Seismic Evaluation of Underground Water Tanks with Focus on Fill Conditions: An In-Depth STAAD.Pro Analysis
Abstract: The seismic analysis of underground water tanks is crucial for ensuring their structuralintegrity and performance during seismic events. This review paper focuses on the seismicanalysis of underground water tanks considering different fill conditions, utilizing theSTAAD.Pro software for analysis purposes. The significance of seismic analysis in undergroundwater tanks and highlights the importance of considering fill conditions during the analysis.Various fill conditions, such as empty, partially filled, and fully filled tanks, are …
Published in Journal of Structural Engineering and Management · Vol. 10, Issue 3, 2023 · pp. 20–26 Read article
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Integration of Multispectral Satellite data with Ensemble Machine Learning Models for Wetland Classification: a new Ramsar Site in Central India
Abstract: For biodiversity conservation, several wetlands in India have been classified as Ramsar sites, and Sirpur Lake is a recent addition to the list. The objective of this paper is to use Sentinel optical data with 10-meter resolution to prepare a robust and accurate classified map which will be crucial for further analysis. The data on thirteen spectral bands along with four essential spectral indices, Normalized Difference Vegetation Index (NDVI), Normalized …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 Read article
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Machine Learning–Assisted Design of High-Performance Biomedical Polymer Composites
Abstract: The high-performance biomedical polymer composite design needs to represent a trade-off between the strength, biocompatibility, and degradation that cannot be accomplished using conventional design methods. The study aims to develop a predictive and optimization framework of composite properties with the help of machine learning. The methods include ANN, SVM, Random Forest, and Gradient Boosting with experiment and simulation data. The results of Gradient Boosting show that the accuracy is 95.9 …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Semi-Elliptical Load Thick Beam Analysis Using 5th Order Shear Deformation Theory
Abstract: A 5th order shear deformation theory considering transverse shear deformation effect is presented for static flexure analysis of isotropic beams with built in ends. The considered displacement field accounts for non-linear variation of in-plane displacements as well as transverse displacement through the thickness of beam. The condition of zero transverse shear stresses on the top and bottom surface of beam is fulfilled. Governing equations and boundary conditions of the theory …
Published in Journal of Structural Engineering and Management · Vol. 7, Issue 3, 2020 · pp. 9–22 Read article
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An Analysis of Multimodal Fusion in Deepfake Detection for Video Samples
Abstract: In today’s rapidly evolving digital landscape, deepfake technology stands as both a marvel and a threat to privacy and security. Deepfakes, hyper-realistic synthetic media created using artificial intelligence (AI), can deceive and manipulate on an unprecedented scale, from political propaganda to compromising videos of public figures. This research navigates deepfake detection, focusing on two advanced methodologies: the vision transformers (ViT) image classifier and the Meso4 method. The ViT model utilizes …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 19–27 Read article