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112 articles for “computing performance”
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Exploring Oroxylum indicum Phytochemicals as VEGFR-2 Inhibitors: A Molecular Docking Approach for Cancer Management
Abstract: Cancer is still a major health problem around the world and is one of the top causes of death. A protein called VEGFR-2 (vascular endothelial growth factor receptor 2) is important because it helps blood vessels grow by supporting the survival, movement, and growth of certain cells. This process is essential for tumors to grow and spread to other parts of the body. This study focused on evaluating the binding …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 3, Issue 2, 2025 · pp. 48–62 Read article
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AI for Cybersecurity: Deploying Machine Learning for Network Traffic Anomaly Detection
Abstract: The growing sophistication of cyberattacks and the growth of network traffic necessitate sophisticated anomaly detection methods. This study overviews the use of artificial intelligence (AI) and machine learning (ML) to counter these challenges, as noted in current studies. It analyses supervised learning (SVM, Decision Trees), unsupervised learning (K-means, DBSCAN), and deep learning (CNNs, RNNs, Auto-encoders) approaches, considering their strengths and weaknesses. The research integrates current developments in AI/ML-based network anomaly …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 1–10 Read article
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Targeting Homogentisate Dioxygenase Dysfunction in Alkaptonuria: Investigating Curcuma longa’s Therapeutic Potential
Abstract: Objectives: Alkaptonuria is known to have a faulty gene HGO in the metabolic process. In the present research work, the focus is towards investigating the therapeutic capabilities of the Curcuma longa upon the faulty Homogentisate dioxygenase gene using ligand-protein binding, which would assist in the corrective tyrosine metabolism. Methods: This study is based on the computational approach using different phytochemicals for evaluation of the potency against the abnormal Homogentisate dioxygenase …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 2, Issue 2, 2024 · pp. 1–11 Read article
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In silico Molecular Docking Analysis of Stephania glabra phytocompounds Targeting Thymidylate Kinase for potential Antituberculosis Activity
Abstract: Tuberculosis (TB) is an infectious disease caused by the bacteria Mycobacterium tuberculosis. It mainly affects the lungs and spreads through the air when a person with active TB in their lungs coughs, sneezes, or spits. This study investigates several bioactive compounds derived from plants to forecast how effective plant-based ligands will be at preventing tuberculosis. The purpose of the study was to use computational techniques to assess the effectiveness of …
Published in International Journal of Molecular Biotechnological Research · Vol. 3, Issue 2, 2025 Read article
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In Silico Exploration of Podophyllum Hexandrum-Derived Phytocompounds as Potential Therapeutics Against Small Cell Lung Cancer (SCLC): A Molecular Docking Approach
Abstract: Small Cell Lung Cancer (SCLC) is a fast-growing and aggressive type of lung cancer that spreads quickly strongly associated with smoking. It is characterized by symptoms, such as persistent cough, breathing difficulties, or hoarseness, though it can sometimes be asymptomatic which makes early detection challenging. The tumor suppressor gene TP53 is critical in regulating the cell cycle and preventing uncontrolled cell division. Mutations in TP53 result in the loss of …
Published in International Journal of Molecular Biotechnological Research · Vol. 3, Issue 1, 2025 · pp. 1–11 Read article
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Supply Chain Design Considering Social and Environmental Risks
Abstract: The aim of the research is to design a supply chain taking into account social and environmental risks. In this research, an attempt was made to present a model that, by considering variables close to the real world, simultaneously considers cost and sustainability issues for designing a meat supply chain network, including locating facilities, using technology in them, how products flow in the network, etc. In order to examine the …
Published in International Journal of Industrial and Product Design Engineering · Vol. 4, Issue 1, 2026 · pp. 35–43 Read article
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Gene prioritization of colorectal cancer using computational approach
Abstract: Colorectal cancer (CRC) continues to be a major worldwide health issue, underscoring the need to pinpoint crucial genetic elements influencing its initiation and advancement. In this investigation, we utilize sophisticated computational methods to prioritize potential genes linked to CRC development. Through the utilization of various bioinformatics tools and comprehensive methodologies, we systematically examine extensive microarray datasets to identify potential genetic contributors. Initially, a vast amount of CRC microarray data (approximately …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 1, 2024 · pp. 39–52 Read article
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Molecular Docking Analysis of Phytocompounds from Ficus hispida Aagainst Epidermal Growth Factor Receptor Kinase Domain
Abstract: The Epidermal Growth Factor Receptor (EGFR) kinase domain plays a key role in cancer, as it promotes tumour growth and helps cancer cells survive, making it an important focus for developing treatments. Through comprehensive computational analysis, this study investigates the anticancer potential of phytocompounds from Ficus hispida, a medicinal plant renowned for its diverse bioactive compounds, as novel EGFR inhibitors. Molecular docking techniques using Py Rx software were employed to …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 3, Issue 2, 2025 Read article
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Molecular Docking Analysis of Phytocompounds from Ficus hispida Against Epidermal Growth Factor Receptor Kinase Domain
Abstract: The Epidermal Growth Factor Receptor (EGFR) kinase domain plays a key role in cancer, as it promotes tumour growth and helps cancer cells survive, making it an important focus for developing treatments. Through comprehensive computational analysis, this study investigates the anticancer potential of phytocompounds from Ficus hispida, a medicinal plant renowned for its diverse bioactive compounds, as novel EGFR inhibitors. Molecular docking techniques using Py Rx software were employed to …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 3, Issue 2, 2025 · pp. 48–62 Read article
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Investigating The Alkalizing Potential of Chandanasava For Restoring Acid-Base Homeostasis in Renal Tubular Acidosis: A Computational and In Silico Pharmacological Study
Abstract: Chandanasava, a traditional Ayurvedic formulation, is recognized for its potential alkalizing properties, which may help restore acid-base homeostasis in conditions such as renal tubular acidosis (RTA). This study aims to investigate the active components of Chandanasava and their interactions with key renal target proteins, Pendrin and Carbonic Anhydrase II, which are essential for maintaining acid-base balance. An in silico approach was utilized to explore the pharmacological potential of the phytochemicals …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 28–52 Read article
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The Next Era of Solid-State Innovation: Beyond Silicon
Abstract: The semiconductor industry is getting close to the physical and economic boundaries of silicon-based technology. A new era of solid-state innovation is beginning. Beyond Silicon: The Next Era of Solid-State Innovation looks at the materials, device layouts, and manufacturing methods that are about to change the way electronics and energy work. The article talks about improvements in wide- and ultra-wide-bandgap semiconductors, two- dimensional materials, and quantum and neuromorphic systems that …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 19–23 Read article
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QCA-based Implementation of Budget-friendly and Energy-Efficient Exclusive-OR/Exclusive-NOR Gates
Abstract: Quantum-dot cellular automata (QCA) is a novel nanoscale computational approach that proposes reduced dimensions, lower power consumption, increased speed, and deliberate design as a solution to the scaling challenge associated with CMOS technique. QCA is a nascent nanotechnology that utilizes the Coulomb repulsion principle. Quantum computing has emerged as a highly effective paradigm for the creation of energy-efficient hardware at the nanoscale. This article presents implementation of a very efficient …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 1, Issue 2, 2023 · pp. 1–6 Read article
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Assessment of Matrix Cracking and Fiber Breakage in Hybrid Composite Materials.
Abstract: Hybrid composite materials, combining two or more distinct fiber or matrix constituents, have emerged as advanced structural solutions for aerospace, automotive, marine, and civil engineering applications. However, their complex microstructure makes them susceptible to multiple interacting damage mechanisms, particularly matrix cracking and fiber breakage. This study provides a comprehensive assessment of these damage modes, emphasizing their initiation, evolution, and combined effects on the mechanical integrity of hybrid composites. Matrix cracking …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 2, 2025 · pp. 1–5 Read article
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AI Driven IoT based Satellite remote sensing system: KSK Approach in Satellite Remote Sensing
Abstract: The convergence of the Internet of Things (IoT) and satellite remote sensing has traditionally been bottlenecked by massive data latency and limited downlink bandwidth. This paper proposes a decentralized framework for an "AI-Driven IoT-based Satellite Remote Sensing System," which shifts the paradigm from raw data transmission to onboard edge-intelligence. By integrating lightweight convolutional neural networks (CNNs) directly into satellite payloads, the system performs real-time feature extraction and anomaly detection before …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 50–57 Read article
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Automated Vehicle Entry Monitoring System Using YOLOv5
Abstract: This project showcases an innovative You Only Look Once (YOLO) object detection model-based Automated Vehicle Entry Monitoring System for community gates. By using YOLO, the system transforms conventional access control paradigms by accurately and in real-time detecting vehicles that are seeking to gain entry. Unlike traditional approaches, the project leverages YOLO's effectiveness in vehicle recognition, classification and Number Plate Detection to improve residential security. By providing communities with a cutting-edge …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 2, Issue 2, 2024 · pp. 34–38 Read article
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The Role of BIM and Parametric Intelligence in Architectural Practice: A Study of Architects in Uttarakhand
Abstract: Dehradun, the capital city of Uttarakhand, represents one of India’s youngest and most dynamic urban centers in Uttarakhand. Since its designation as the state’s capital, the city has experienced a rapid evolution in architectural development and construction technology. As urbanization and design demands increase, architectural practices in Dehradun and across Uttarakhand are progressively shifting from conventional methods toward advanced digital tools that promote precision, efficiency, and sustainable outcomes. Among these, …
Published in International Journal of Architectural Design and Planning · Vol. 4, Issue 1, 2026 · pp. 19–38 Read article
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Comprehensive Review of the Fundamental and Functional Properties of Crystalline Materials
Abstract: Crystalline materials, characterized by their highly ordered atomic arrangements, serve as the backbone of modern engineering and technology. This review provides a detailed examination of their diverse properties, categorized into mechanical, thermal, electrical, and optical domains. We analyze fundamental mechanical parameters such as the elastic modulus, yield strength, and fracture toughness, alongside functional behaviors like fatigue and creep. The discussion extends to thermal transport and expansion, electrical conductivity and resistivity, …
Published in International Journal of Crystalline Materials · Vol. 3, Issue 1, 2026 · pp. 20–24 Read article
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Strategic Solutions: How Mathematics Reshapes Industrial Landscapes
Abstract: One of the earliest and most fundamental fields of the physical sciences is mathematics. It has a significant impact on industrial enterprises' bottom lines and enhances their performance in the current data-driven market. One subfield of applied mathematics is industrial mathematics. It concentrates on issues that arise in the industry and seeks answers that are pertinent to the sector. The use of mathematical models and techniques to diverse industry difficulties …
Published in International Journal of Industrial and Product Design Engineering · Vol. 2, Issue 1, 2024 · pp. 16–23 Read article
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Prediction of Molecular Targets for Anthraquinone and Its Analogs for Treatment of Good Pasteur Syndrome
Abstract: Objective: In order to find prospective molecular targets for the treatment of Good Pasteur Syndrome (GPS), a rare autoimmune disease that affects the kidneys and other organs, computational methods and network pharmacology were applied in this work. The goal of the study is to identify particular human proteins that might interact with anthraquinone and its analogues as well as to uncover potential mechanisms of action by which these drugs might …
Published in International Journal of Bioinformatics and Computational Biology Read article
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Precision Medicine for Neurofibromatosis Type 1: Progress and Prospects in Drug Discovery
Abstract: Objective: The development of neurofibromas, café-au-lait spots, and other neurological problems are the hallmarks of neurofibromatosis type 1 (NF1), a hereditary disorder. The dearth of efficacious pharmaceutical therapies underscores the need for novel therapeutic approaches, even in the face of clinical variability. Through very accurate prediction of the binding affinity of possible therapeutic drugs with the target protein, the computational technique known as “molecular docking” has become a potent tool …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 1, 2024 · pp. 01–15 Read article