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1985 articles for “High performance” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Performance Analysis of Deep CNN Architectures
Abstract: A Convolutional Neural Network (CNN) is an artificial neural network renowned for its remarkable ability to handle large image datasets effectively, particularly excelling in tasks such as image recognition and classification. The fundamental structure of a CNN relies on mathematical convolution operations, comprising essential components such as convolutional layers, activation functions, pooling layers, and fully connected layers. These components work synergistically to extract and learn hierarchical features from input data, …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 2, 2024 · pp. 1–8 Read article
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Innovations in Forensic Imaging: Leveraging Deep Learning for Authenticity Verification
Abstract: The advent of digital media has necessitated advancements in forensic imaging, especially for the detection and verification of image authenticity. In this context, digital image forensics plays a critical role in identifying manipulated or counterfeit images. This paper presents a new method that uses deep learning techniques to enhance image forgery detection. The approach utilizes a convolutional neural network (CNN) to automatically learn and recognize the intricate features present in …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 2, 2024 · pp. 28–33 Read article
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Performance of Artificial Neural Network for Tree Species Identification using Sentinel-2 Data
Abstract: Accurate land cover mapping, especially concerning vegetation, is crucial for effective land use policy planning and sustainable forest management. Hence, achieving accuracy in mapping requires a deep understanding of composition changes, vegetation conditions, and the spatial distribution of tree species. In the spatial context of tree species, it holds significant potential for applications including invasive species monitoring, delineating contaminated areas, and biodiversity conservation. However, traditional methods for tree species identification …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 2, 2024 · pp. 12–21 Read article
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Fiber Reinforced Concrete (FRC) as Composite Material in Pavement
Abstract: Conventional bituminous pavements are extensively utilized across India, yet they face challenges such as limited impact resistance, low tensile strength, and brittleness compared to concrete alternatives. Despite concrete's superior strength and durability, it exhibits deficiencies in ductility, fatigue resistance, and ability to withstand substantial deformations. This research delves into the feasibility of fiber-reinforced concrete as a composite material for pavements, with a primary goal of extending the service life of …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 137–143 Read article
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Design for Additive Manufacturing (DFAM) Leveraging 3D Printing to Optimize Machine Components
Abstract: Design for Additive Manufacturing (DFAM) is a new methodology that focuses on maximizing the special potential of 3D printing technologies to optimize machine components. Contrasting to traditional manufacturing processes, additive manufacturing (AM) makes it feasible to create complicated shapes that would be impossible or difficult to do using standard methods like casting or machining. This study explores the principles of DFAM, including the advantages it offers in terms of design …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 2, Issue 2, 2024 · pp. 9–14 Read article
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Optimizing Supply Chain Management: Strategies, Innovations, and Sustainable Practices for Enhanced Operational Efficiency and Global Competitiveness
Abstract: Supply chain management (SCM) is a critical component of modern business operations, directly influencing operational efficiency and global competitiveness. This paper explores strategies, innovations, and sustainable practices aimed at optimizing SCM. It examines the integration of digital technologies, such as artificial intelligence and digital twins, to enhance supply chain performance and adaptability. Additionally, the study delves into sustainable supply chain management (SSCM) practices, including sustainable sourcing, green packaging, and waste …
Published in Journal of Production Research & Management · Vol. 15, Issue 1, 2025 · pp. 1–6 Read article
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Extraction of Impacted Lower 3rd Molars immediately after the Single Visit Endodontic treatment of 2nd Molar - A Case Series
Abstract: Patients who visit a dental clinic often anticipate fewer appointments and quicker recovery times. This expectation is particularly relevant when discussing impacted lower third molars in conjunction with decayed second molars. Dentists often struggle with the decision of whether to start endodontic treatment on the second molar or to proceed with extracting the third molar. This dilemma arises due to the absence of sufficient research or documentation specifically addressing the …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 2, 2025 · pp. 6–11 Read article
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Dielectric Elastomers in Actuation and Energy Applications: Material Behavior and Design Strategies
Abstract: Dielectric elastomers (DEs), a class of electroactive polymers, have attracted significant attention for their ability to undergo large, reversible deformations under electric stimulation. This unique capability makes them highly suitable for a range of actuation and energy harvesting applications, especially in the emerging fields of soft robotics, flexible electronics, artificial muscles, and sustainable power generation systems. DEs offer compelling advantages such as low weight, mechanical flexibility, high energy density, and …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 1, 2025 · pp. 13–18 Read article
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HCI: A Systematic Review of Trends, Challenges, and Future Directions
Abstract: The field of human-computer interaction (HCI), which connects people and technology, is becoming increasingly important and developing quickly. By emphasizing intuitive interaction, user-focused design, and overall system usability, it contributes to the development of more intelligent, responsive, and human-centered systems. This thorough analysis explores the many uses of HCI, such as mobile and multi-screen platforms that demand smooth, cross-device interactions and immersive settings like the Metaverse, where users interact within …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 3, 2025 · pp. 10–16 Read article
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Effectiveness of Muscle Energy Technique Versus Conventional Therapy on Hamstring Tightness Among Sportspersons: A Comparative Study
Abstract: Background: Hamstring tightness is a frequent musculoskeletal concern among athletes, often contributing to limited flexibility, decreased performance levels, and a higher likelihood of sustaining injuries. Muscle energy technique (MET) has gained attention as a therapeutic approach aimed at enhancing muscle length and improving overall function. Objective: This study aims to evaluate and compare the effectiveness of the MET with that of traditional physiotherapy methods in alleviating hamstring tightness in sportspersons. …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 23–27 Read article
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AI Powered Fault Detection in DC Motor using STM32
Abstract: This work presents the design and implementation of an embedded artificial intelligence system for real-time fault detection in a direct current (DC) motor using the STM32 Nucleo- F411RE microcontroller. The objective of the study is to develop a low-cost and efficient predictive maintenance solution capable of identifying abnormal motor behavior at an early stage. Vibration and temperature signals are acquired using an MPU6050 sensor and processed directly on the microcontroller …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 39–49 Read article
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A Review of Tailor Craft E-Commerce: Design, Implementation, and Evaluation
Abstract: The rapid growth of e-commerce has transformed consumers' purchasing and interaction with businesses. In particular, the clothing and fashion industry has embraced digital platforms to extend its reach, improve accessibility, and offer convenience to its customers. However, challenges such as unclear product information, insecure payment methods, poor user experience, and inefficient order tracking still limit customer satisfaction on many platforms. The Tailor Craft E-Commerce project aims to bridge these gaps …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 1, 2026 · pp. 39–47 Read article
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Examination of Density and Weight Effect of Soft Woods on Tensile Strength and Deliverability Time
Abstract: The role of density and weight of soft wood was examine in this study as well as its contribution to truck performance as related to the factors required to attain the goal and objectives of the procurement as designed. The Buckingham Pi Theorem applied in this study reveals that the coefficients considered as a constrain factors was adequate to monitor and predict the significance of density and wood on the …
Published in Emerging Trends in Chemical Engineering · Vol. 9, Issue 3, 2022 · pp. 13–20 Read article
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Designing of OFDM and FBMC System using QAM and QPSK Modulation Technique
Abstract: AbstractThe Fourth generation (4G) and Fifth generation (5G) are the new evolution of the mobile communication system. The fourth generation had been launched in almost all countries and the 5G is very soon launched in many countries. In India, the 5G is launched in the years of 2020s. In this article, we hut the light on the potential and implementation on the multicarrier technology system which is the 5G based …
Published in Journal of Electronic Design Technology · Vol. 9, Issue 3, 2018 · pp. 24–29 Read article
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Cylindrical Dielectric Resonator Antenna With Rectangular Patch
Abstract: DRAs are used for 5G communications of huge bandwidth from millimeter to Terahertz. high facts charge is performed through the channel ability i.e. C=Blog2(1+SNR) where C is the channel capacity and B is the bandwidth of the channel. The cylindrical resonator antenna operating in hybrid HEM11 mode. in this paper a cylindrical dielectric resonator antenna (CDRA) with frequency range (26GHz).The cylindrical dielectric resonator with radius r=1.45mm and height h=1.4mm. the …
Published in Journal of Microwave Engineering and Technologies · Vol. 9, Issue 1, 2022 · pp. 9–15 Read article
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Review Paper on Static and Dynamic Power Dissipation of Novel CMOS SRAM Cell
Abstract: VLSI design is persistently demanding for ultra-low power efficient and data stability solution. This review paper studies and analyses about various techniques to reduce leakage and dynamic power dissipation. Sleepy keeper approach, super cutoff mode, NTC method, dual-threshold approach, quiet-bitline and single bitline architecture are discussed for the power reduction. Sleepy keeper, NTC and dual-threshold approach are focused for high data stability and performance. Quite bitline architecture SRAM saves overall …
Published in Journal of VLSI Design Tools and Technology · Vol. 6, Issue 1, 2016 · pp. 73–77 Read article
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Rare Three Cases of Right Sided Diaphragmatic Rupture Following Blunt Trauma Abdomen
Abstract: Diaphragmatic rupture can occur with both blunt trauma chest as well as blunt trauma abdomen which can be associated with herniation of abdominal content into thoracic cavity. Diaphragmatic injury is common following chest injury in 1–7% cases but it's rare following blunt trauma abdomen. In this study we had seen three cases in which there was rupture of diaphragm due to blunt trauma abdomen without any rib fracture and wound …
Published in Research and Reviews : Journal of Surgery · Vol. 4, Issue 2, 2015 · pp. 17–19 Read article
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A Novel Approach control based Multilevel Inverter Topology Using DC Sources for Harmonic Reduction, Leakage Current Mitigation, and Voltage Stress Minimization in Photovoltaic Applications
Abstract: Photovoltaic systems are becoming main renewable energy sources, but they may face several challenges such as harmonic distortion, leakage current and variable output voltage. Due to this efficiency of the system leads to reduction and also power quality. To overcome these issues the paper presents a novel control-based multi-level inverter(MLI) and it uses multiple DC sources. The main goal of study is to provide a clean, stable and efficient power …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 4, Issue 2, 2026 Read article
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The Impact of Nutrition on Sports Performance and Academic Success: A Study Among University Athletes – Eastern Technical University of Sierra Leone
Abstract: University athletes operate within dual-performance environments that require simultaneous academic and athletic excellence. Nutrition plays a critical role in supporting both physiological performance and cognitive functioning; however, limited empirical work has examined its combined influence on athletic and academic outcomes within university athlete populations, particularly in low-resource contexts. This study aimed to investigate the relationship between nutritional practices, sports performance, and academic achievement among university athletes at the Eastern Technical …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 1, 2026 · pp. 16–27 Read article
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Assessing the Robustness of Machine Learning Models for Wireless Intrusion Detection Under Adversarial Traffic Perturbations
Abstract: As the Internet of Things (IoT) devices and wireless communication networks continue to grow rapidly, protecting systems from cyber threats has become increasingly important. Machine learning–based intrusion detection systems (IDS) have shown strong potential in detecting abnormal and malicious network activities, yet their effectiveness and resilience when facing adversarial attacks are still not sufficiently explored. This research evaluates Machine Learning (ML) models–XGBoost, random forest, and multi-layer perceptron (MLP)—in detecting attacks …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 1, 2026 · pp. 29–34 Read article