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110 articles for “pre-extension demonstration”
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Brain Tumor Detection Using RestNet50 Architecture
Abstract: This paper presents a novel deep learning model for brain tumor diagnosis from MRI scans on the basis of ResNet50 with some modifications. Optimizing the modified layers and pre-trained ResNet50 for improved diagnostic accuracy and reliability in real-world clinical settings is one of the key contributions of this paper. The model was trained on an extremely well-balanced data of 2,577 MRI scans, which were split equally among the tumor and …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 1–13 Read article
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An Automation Detection for Sign Language Using AI
Abstract: Sign language recognition has attracted considerable interest because of its ability to facilitate communication between the deaf community and the public, thereby bridging communication divides. Traditional approaches to sign language recognition often face challenges in accurately interpreting the complex and nuanced gestures inherent in sign languages. However, recent advancements in deep learning techniques have shown promising results in improving the accuracy and robustness of sign language recognition systems. This study …
Published in Recent Trends in Programming languages · Vol. 11, Issue 1, 2024 · pp. 1–14 Read article
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Digital Resurrection: Restoring Fragile Documents with OCR
Abstract: In creating a typical Optical Character Recognition (OCR) system, several steps are involved, such as preprocessing, segmentation, feature extraction, and classification. Preprocessing, which is a particularly interesting and challenging aspect of Document Analysis and Recognition (DAR), deals with converting scanned or photographed images containing machine-printed or handwritten text, including numbers, letters, and symbols, into a format that the system can understand. Segmentation is a crucial task in any OCR system, …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 2, 2024 · pp. 29–35 Read article
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Determinants of Smallholder Farmers Quantity of Coffea arabica L., Supply to Market: A Case of Gimbo District, Kaffa Zone, Ethiopia
Abstract: This study investigates the factors influencing the market supply of coffee in various districts of the Gimbo District, Kaffa Zone, in Southwest Ethiopia. Coffee is Ethiopia's most significant export crop, recognized for its extensive genetic diversity and its substantial contribution to the country's GDP. Despite the district's strong production capacity, the marketing structure remains predominantly traditional, compelling producers to sell through conventional channels that do not offer premium prices, thereby …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 107–120 Read article
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Variation of Ground Acceleration with Increase in Lateral Distance
Abstract: Ground acceleration induced by dynamic loading decreases with increasing lateral distance from the source because of wave attenuation and energy dissipation through the ground. Accurate estimation of ground acceleration at different distances is essential for evaluating the safety and performance of nearby structures, particularly in blasting, seismic, and heavy construction activities. This study presents a simplified linear attenuation model for estimating ground acceleration at greater lateral distances using limited measured …
Published in Journal of Geotechnical Engineering · Vol. 13, Issue 2, 2026 · pp. 21–27 Read article
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Parallel Privacy-Preserving Adaptive Federated Learning on GPU-Enabled Multi-Core Architectures
Abstract: The increasing deployment of parallel and distributed intelligent systems has intensified the need for privacy-preserving learning frameworks that can exploit multi-core and graphics processing unit (GPU)-based architectures without centralizing sensitive data. This work proposes a parallel adaptive federated learning (AFL) framework that integrates differential privacy and secure aggregation over heterogeneous multi-core and GPU platforms to enhance both data confidentiality and convergence efficiency. The framework dynamically adjusts client participation, learning rates, …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 · pp. 09–16 Read article
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The Impact of Food Fortification on Health and Nutrition
Abstract: This comprehensive study explores the critical role that food fortification plays in enhancing nutritional outcomes and overall health. Through an extensive review of existing literature, this article explores the diverse ways in which fortifying foods with essential nutrients positively influences public health. This analysis encompasses the benefits of fortification by addressing micronutrient deficiencies, promoting overall well-being, and preventing various health conditions. Food fortification is a pivotal intervention in the realm …
Published in International Journal of Nutritions · Vol. 1, Issue 1, 2024 · pp. 13–18 Read article
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Role of Alkalinized Topical Heparin and Lignocaine Preparation in Burn Wound
Abstract: Burns can severely damage a patient's physical and mental health. We should consider pain, hospital stays, lost workdays, and financial strain while handling these patients. Burn patients need rapid specialist care to reduce morbidity and death. Heparin is anti-inflammatory, allergic, histaminic, serotonin-blocking, and proteolytic enzyme-blocking. Topical forms have been used to prevent burn extension, limit skin tissue loss, promote quicker healing with fewer contractures, relieve pain, reduce tissue oedema and …
Published in Trends in Drug Delivery · Vol. 10, Issue 2, 2023 · pp. 16–19 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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A Study on “Clean" in Beauty: A Machine LearningApproach to Ingredient Transparency and ConsumerTrust
Abstract: The burgeoning "clean beauty" market, while driven by consumer demand for safer and more sustainable products, is plagued by ambiguous definitions and the pervasive challenge of "greenwashing". This ambiguity hinders informed consumer choices and complicates brand authenticity. This study addresses these complexities by developing a novel machine learning (ML) framework designed to objectively analyze cosmetic ingredient lists, classify products based on their "cleanliness" profile, and identify key ingredient attributes that …
Published in Recent Trends in Cosmetics · Vol. 3, Issue 1, 2026 · pp. 1–12 Read article
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Genomic Medicine Revolutionizes Heart Care: A New Standard of Practice
Abstract: The integration of genomic and precision medicine into cardiovascular healthcare represents a transformative advancement in addressing the global burden of cardiovascular diseases (CVDs). Precision medicine leverages genomic, proteomic, and metabolomic data to provide personalized care, optimizing treatment outcomes while minimizing adverse effects. Over the past decade, extensive research has highlighted its potential to revolutionize the management of major CVDs, including myocardial infarction, hypertension, and heart failure, which significantly contribute to …
Published in International Journal of Tropical Medicines · Vol. 2, Issue 2, 2025 · pp. 30–37 Read article
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Experimental Investigation on Heat Transfer Enhancement in Shell and Tube Heat Exchanger Using Graphene Nanofluids
Abstract: The paper focuses on the dispersion of Graphene nanoparticles in a water–ethylene glycol based fluid to investigate their impact on the convective heat transfer performance of the resulting nanofluid. Various concentrations of graphene nanoparticles were prepared, and the nanofluids were subjected to different ultrasonication durations to ensure proper dispersion and stability of the nanoparticles within the base fluid. The study involved extensive experimental evaluation to systematically analyze how the nanoparticle …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 32–38 Read article
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Linseed Released Varieties Adaptation Trial at Sidama and Hadya Zones of Ethiopia
Abstract: Among oil crops, linseed is the third important commodity next to sesame (Sesamumindicum L.) and noug (Guizotiaabyssinica Cass.) in Ethiopia. Testing the adaptability of a variety over diverse environments is commonly evaluated by the degree of its interaction with different environments in which it is grown. An evaluation experiment was conducted in three districts, namely, Bule (Gedeo zone), Dara (Sidama zone) and Hosanna (Hadiya zone), Southern Ethiopia, during 2018 and …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 9, Issue 3, 2020 · pp. 10–14 Read article
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Knowledge Production and Global Integration of Uganda’s Climate Change Research: A Scientometric Perspective
Abstract: This study provides a comprehensive scientometric analysis of climate change research originating from Uganda and indexed in the Web of Science Core Collection between 1974 and 2025. A total of 1,097 publications were identified, which collectively received 785 Total Local Citation Scores (TLCS) and 40,275 Total Global Citation Scores (TGCS).The temporal analysis reveals exponential growth in research productivity, with over 67% of total publications produced during 2020–2025, indicating accelerated scholarly …
Published in International Journal of Atmosphere · Vol. 3, Issue 1, 2026 · pp. 15–25 Read article
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Analysis of Quicklime Production from Eggshell through Factorial Study
Abstract: Factorial analysis is a method used in experimental design to assess the impact of different input factors on the resulting output. Quicklime is used extensively in many sectors, including those that produce paper, glass, tannery products, agriculture, water treatment, building, and agriculture. This study focused on evaluating key parameters in the calcination process, specifically calcination temperature, calcination time, and the size of eggshell and snail shell particles. The study successfully …
Published in Emerging Trends in Chemical Engineering · Vol. 10, Issue 2, 2023 · pp. 18–22 Read article
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Study of Finite State Machines as Language Recognizer
Abstract: Finite State Machines (FSMs) play a fundamental role in computer science and linguistics as language recognizers. This study presents an exploration of the principles and applications of FSMs as efficient tools for recognizing formal languages. The study delves into the theoretical foundations of FSMs and their practical implementation in various language recognition tasks. The fundamental ideas of FSMs, including as states, transitions, and input symbols, are introduced in this study. …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 1, 2023 · pp. 18–24 Read article
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Automated Suspicious Activity Detection in Video Surveillance Using Deep Learning: A Review
Abstract: In the current era of advanced security systems, video surveillance plays an essential role in ensuring safety by detecting suspicious activities. With the increase in real-time data, manual monitoring has become impractical, paving the way for automated surveillance systems utilizing machine learning (ML) and artificial intelligence (AI) technologies. This paper explores the integration of ML and AI models, specifically convolutional neural networks (CNNs) and long short-term memory (LSTM) networks, for …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 20–27 Read article
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Mechanical and Morphological Analysis of Jute/Manila Hemp Hybrid Composites for Enhanced Structural Performance
Abstract: Natural fiber composites are renowned for their lightweight, strength, corrosion resistance, and high strength-to-weight ratio, often surpassing traditional metals. Despite challenges such as poor fiber-matrix adhesion and moisture susceptibility, hybridizing composites present a viable solution by enabling tailored properties for optimal performance. This study investigates hand-lay-up processed natural fiber composites, specifically woven jute/epoxy, non-woven manila hemp/epoxy, and their hybrid variants. Extensive testing was conducted on mechanical properties including hardness, flexural …
Published in Journal of Polymer & Composites · Vol. 12, Issue 8, 2024 · pp. 1–11 Read article
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Spectral Intuitionistic Fuzzy Hypergraph Operators and Dominance Kernels for Resilient Discrete Network Design
Abstract: A new discrete-mathematical framework is developed for resilient network design on intuitionistic fuzzy hypergraphs, where uncertainty is explicitly represented through membership, non-membership, and hesitation degrees associated with both vertices and hyperedges. These three components are systematically integrated into an effective incidence operator that captures the underlying uncertain relationships within complex hypergraph structures. Based on this operator, both un-normalised and normalized Laplacian matrices are formulated to characterize the spectral properties and …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 41–48 Read article
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Computable Extension of New Advanced Fractional Kinetic Equation
Abstract: AbstractFirst, we obtain computable extensions of advanced fractional kinetic equation. The aim of this survey is to explore the behavior of physical and biological systems from the point of view of fractional calculus. Fractional calculus, integration and differentiation of an arbitrary or fractional order, provide new tools that expand the descriptive power of calculus beyond the familiar integer-order concepts of rates of change and area under a curve. Fractional calculus …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 4, Issue 2, 2017 · pp. 26–32 Read article