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419 articles for “model selection”
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Molecular Docking Evaluation of Cedrus deodara Secondary Metabolites as a Potent Anti-ovarian Cancer Agent
Abstract: Objective: According to the statistics for the year 2022 it was seen that cancer total cases is 14,61,427. After breast cancer, ovarian cancer is the second most frequent cancer among women. The estrogen receptor (PDB ID: 1X7E), progesterone receptor (PDB ID: 1A28), and Phosphoinositide 3-kinases (PDB ID: 4FJY) can be considered as target protein for ovarian cancer. The plant Cedrus deodara and its phytochemicals were chosen in this study to …
Published in International Journal of Molecular Biotechnological Research · Vol. 1, Issue 1, 2023 · pp. 77–93 Read article
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Card Fraud Detection Using Artificial Neural Network and Multilayer Perception Algorithm
Abstract: Fraud has posed a significant challenge for merchants, especially in the online business sector, over the course of many years. This is primarily due to the advancements in technology that have made credit card transactions a common method of payment. Credit card fraud refers to the unauthorized use of a credit card by an individual for personal purposes, without the owner's consent and with no intention of paying for the …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 1, 2023 · pp. 21–30 Read article
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THE EFFECTS OF ENERGY CONSUMPTION ON THE TURNING PROCESS FOR VARIOUS WORK-PIECE MATERIALS
Abstract: The study modified its goal to energy-intensive titanium alloys, contrasting traditional and high-speed machining processes. According to the study, a solution is needed to reduce or optimize energy use. So, a machined component energy footprint model was created. Several cutting speeds were used to calculate (k). Material removal rates were compared to cutting speeds for a range of materials and levels of detail. A strategy for selecting optimal cutting conditions …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 54–65 Read article
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House Price Estimation Using Linear Regression: A Machine Learning Perspective
Abstract: House price prediction plays a crucial role in the real estate industry, helping buyers, sellers, and investors make well-informed decisions. Accurate estimation of property values enables stakeholders to assess market trends, plan investments, and minimize financial risks. This study focuses on the application of linear regression, a fundamental and widely used machine learning algorithm, to predict house prices based on multiple influencing factors. These factors include location, property size, number …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 21–29 Read article
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Design Strategies of Polymer Composite Components for Sustainable Renewable Energy Microgrids
Abstract: Increasing power demand and variable performance requirements in renewable-energy systems motivate integrating advanced polymeric and composite materials into microgrid components to improve reliability and performance. This paper presents a design and control framework for a standalone microgrid that couples power-electronic and energy-conversion subsystems with polymer-composite–based components to enhance durability, thermal management, and electromagnetic shielding. The microgrid uses a doubly fed induction generator (DFIG) for wind generation to enable independent active …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 63–71 Read article
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DESIGNING AND ANALYSIS OF DIFFERENT TYPES OF FINS IN AIR COOLED ENGINE
Abstract: This paper is dedicated to the study of various shapes of extended surfaces, commonly known as fins, which are used on cylinder heads of internal combustion engines. Extended surfaces are used to improve heat dissipation from the object by increasing its effective surface area. Efficient heat dissipation is very important since proper cooling of an engine cylinder head helps to maintain optimal working temperatures, improves engine performance, increases service life, …
Published in Journal of Thermal Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 33–79 Read article
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Multi Objective Optimization of Lifting Hook Strength for Hitachi Sumitomo Systems Using Cross Sectional Variations
Abstract: Material handling equipment refers to a broad category of mechanical systems used for the movement, storage, regulation, and safeguarding of materials and products throughout different stages such as manufacturing, distribution, usage, and disposal. These systems form an integral part of industrial operations by facilitating efficient handling processes. Typically, material handling equipment can be grouped into four primary classifications: storage and handling devices, engineered systems, industrial transport vehicles, and bulk material …
Published in Trends in Machine design · Vol. 13, Issue 2, 2026 · pp. 1–15 Read article
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CampusX: Empowering College Selection with 3D insights using machine Learning approach.
Abstract: CampusX redefines college selection with dynamic 3D insights, empowering students to navigate campuses virtually. Utilizing cutting-edge machine learning and visualization techniques, it transforms static data into interactive experiences. Personalized comparisons enable informed decision-making, while predictive analytics forecast future campus developments. With a user-centric interface and robust privacy protocols, CampusX ensures seamless exploration and data security. This innovative platform bridges the gap between prospective students and their ideal educational environments, revolutionizing …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 23–29 Read article
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A study to assess the knowledge and attitude towards healthy and regular breakfast among undergraduate students of Moradabad, U.P.
Abstract: A research titled “A study to assess knowledge and attitude towards healthy and regular breakfast among undergraduate students of selected colleges of Moradabad, UP, was conducted in partial fulfillment of the requirement of a degree of ‘Bachelors of Science in Nursing at Vivekanand College of Nursing, Moradabad, UP. The present study is an attempt to determine the students’ knowledge towards healthy and regular breakfast, which in turn will help the …
Published in Journal of Nursing Science & Practice · Vol. 11, Issue 1, 2021 · pp. 6–22 Read article
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Role of Quantum Chemistry in Catalysis: A Comprehensive Review
Abstract: Catalysis plays a crucial role in modern chemical manufacturing, energy conversion, and environmental protection by enabling chemical reactions to occur more rapidly, selectively, and with reduced energy consumption. A fundamental understanding of catalytic processes at the atomic and electronic levels is essential for the rational design and optimization of catalysts. Quantum chemistry has emerged as a powerful theoretical and computational framework that enables detailed investigation of electronic structure, reaction energetics, …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 1, 2026 · pp. 01–16 Read article
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Thermal Performance Analysis and Optimization of Pin-Fin Heat Sink Using CFD, Taguchi Method, and Machine Learning
Abstract: Efficient thermal management is essential for improving the performance and reliability of modern engineering systems and electronic devices. This study presents the design, simulation, and optimization of a pin-fin heat sink using SolidWorks for three-dimensional modeling and ANSYS for thermal and computational fluid dynamics (CFD) analysis. Four different pin-fin geometries, namely square, pentagon, octagon, and circular fins, are considered to evaluate their thermal performance under varying operating conditions. Aluminum is …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 8–20 Read article
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Improving The Accuracy of Medical Diagonosis Detection Using Machine Learning
Abstract: While accurate and timely medical diagnosis is a fundamental aspect of effective health care delivery, traditional methods have not been able to overcome major hurdles such as inefficiencies in data analysis with Gi Human Error as well as limitations in scalability. The “Improved Accuracy of Medical Diagnosis Detection Using Machine Learning” project seamlessly integrates advanced machine learning (M L) technologies with efficient preprocessing and feature selection techniques to outperform all …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 1–8 Read article
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An Analysis of Optical Transmission System using Fiber Bragg Grating (FBG) with Power Optimization and Dispersion Compensation
Abstract: AbstractThe Fiber Bragg Grating (FBG) is a low cost filter for wavelength selection and also has low insertion loss. We know that Dispersion Compensation (DC) and Power Optimization (PO) are one of the most important parameters of the optical communication system. In this proposed communication model, dispersion compensation has been achieved and also we optimized almost same power at the receiver end, also we have calculated output power for different …
Published in Trends in Opto-electro & Optical Communication · Vol. 5, Issue 2, 2015 · pp. 1–5 Read article
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Intelligent Waste Management through Automated Sorting for Enhanced Recycling and Sustainability
Abstract: Waste segregation promotes energy production from waste, landfill depletion, recycling, and waste reduction. Recycled materials become contaminated by waste that is disposed of inappropriately. Automated computerized trash sorting is one technique to help reduce contamination, a major problem for the recycling sector. The ability to come up with models or techniques that assist individuals in sorting waste has become crucial to properly disposing of it. Even with the wide variety …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 3, 2024 · pp. 10–16 Read article
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Flow Reversal and Pressure pulsation: Innovative technique to enhance flux in Nanofiltration
Abstract: Reduction in Permeate flux with the period of time is the major drawback for the Pressure-driven membrane processes. Concentration polarization and membrane fouling are the two major limitations for the Pressure-driven membrane filtration processes. They lead to the severe flux decline and that need to be controlled for the better process efficiency. The resistance determination provides basis for selection of membrane and appropriate pressure –driven separation process. This paper outlines …
Published in Emerging Trends in Chemical Engineering · Vol. 6, Issue 3, 2019 · pp. 1–7 Read article
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Interface Engineering of Graphene Multi-Junction InGaP/GaAs/InGaAs/Ge Solar PVC
Abstract: AbstractThe main impediment faced by solar Photo-Voltaic Cell (PVC) is the excitation of charge carriers by high and low energy photons to make them reach the conduction band as this superintends the output device current. To enhance the device current, intermediate engineering of solar PVC is the most prominent strategy. An Inter-Mediate Layer (IML) serves as a spectrally selective layer between the muti-junctions for tandem solar cell. This research work …
Published in Trends in Opto-electro & Optical Communication · Vol. 8, Issue 1, 2018 · pp. 1–7 Read article
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Brief Review on Novel Technology in Breast Cancer Chemotherapy
Abstract: Breast cancer is cancer that develops from breast tissue. Breast cells contain receptors for the two types of hormones estrogen and progesterone. They also contain receptors for a protein called HER2, which induce normal cell growth. Around two out of three women with breast cancer have cells that bear receptors for estrogen and progesterone, and just about 20–30% of breast cancers have too many HER2 receptors. Exploitation chemotherapy to treat …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 7, Issue 2, 2018 · pp. 22–26 Read article
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An Innovational Approach for Assessment of Hypothetical Emergency Evacuation Distance in Pharmaceutical Industry
Abstract: Nobody predict an emergency or disaster situation especially one that affects them their employees and their business personally. The evacuation is a simple way to evacuate employee from workplace safely. It is very important that the evacuation is having a systematic approach, rules, regulation and design aspect concerns followed during the evacuation. There are number of principles factor and mathematical models which can simulate the evacuation systematically, so the evacuation …
Published in Journal of Industrial Safety Engineering · Vol. 8, Issue 3, 2021 · pp. 31–36 Read article
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Polymers and Composites in the Design and Construction of Unmanned Aerial Vehicles: A Comprehensive Technical Review
Abstract: The emergence of Unmanned Aerial Vehicles (UAVs) over the last few years has mostly been made possible by breakthroughs in material science. This review is concerned with an overview of some of the polymers and composites that are being commonly used in drone manufacturing in recent times, especially in relation to the influence of material choice on drone performance and capability. It sheds light on the drastic change in the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 874–882 Read article
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Optimized Rectangular Microstrip Patch Antenna for Wireless Communications
Abstract: The design is for a microstrip patch antenna that is rectangular. The wireless local area network [WLAN] resonance frequency of the suggested antenna is 2.4GHz. The antenna's frequency selection has made it ideal for use in wireless local area networks, or WLANs. The antenna design is optimised using the optometric feature of the High Frequency Structure Simulator software (HFSS) to increase the accuracy and efficiency of the suggested antenna. HFSS …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 1, 2025 · pp. 37–47 Read article