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1951 articles for “Techniques” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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U-Net Based Approach for Automated Brain Tumor Classification
Abstract: Brain tumor detection and identification play vital roles in diagnostic procedures in the field of medicine, with the conventional analysis of MRI images requiring a lot of time and also subject to variability. The proposed study involves the use of a CNN-U-Net based approach for brain tumor detection and identification automatically. The study uses a database of 3,064 contrast-enhanced T1-weighted MRI images from 233 patients with the tumors of meningioma, …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 2, 2025 Read article
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Melanoma Skin Cancer Detection Using Deep Learning
Abstract: Melanoma, a fatal type of skin cancer, is a major global health concern. For better patient outcomes, early and precise detection is essential. A branch of artificial intelligence called deep learning has demonstrated encouraging outcomes in medical image analysis, particularly the identification of skin cancer, in recent years. We present a new method for detecting melanoma skin cancer in this paper by utilizing the ResNet-50 architecture, a deep convolutional neural …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 2, 2025 · pp. 1–9 Read article
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Ovarian Cancer: Understanding Risk Factors, Diagnosis, and Advances in Treatment
Abstract: Ovarian cancer is a leading cause of cancer-related mortality among women worldwide, often diagnosed at advanced stages due to its subtle early symptoms. Ovarian cancer develops due to a combination of factors, including genetics, environmental influences, and hormonal changes. This article explores the pathophysiology of ovarian cancer, highlighting the genetic mutations, such as BRCA1 and BRCA2, that contribute to its development. It also discusses current diagnostic methods, including imaging techniques …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 2, 2025 Read article
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A Python-Based Investigation of Clinical Data and Ultrasound Images for PCOS Diagnosis
Abstract: PCOS is a common endocrine disorder that impacts women in their reproductive years characterized by irregular menstrual cycles, hyperandrogenism, and polycystic ovaries. The full diagnostic plan is mainly a combination of a pelvic ultrasound besides blood tests of specific parameters that indicate the presence of PCOS. Since PCOS is a hard-to-diagnose widespread hormonal disorder, blood tests, symptoms, and other parameters with the help of a computer can form a new …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 2, 2025 Read article
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A Combined ECG and PPG Signal Powered Artificial Intelligence-Based Prediction Model for Stroke
Abstract: Stroke is one of the most common causes of morbidity and mortality around the world, and emphasis on prevention and early detection strategies cannot be overstated. This review aims to integrate techniques of artificial intelligence with electrocardiogram and photoplethysmogram signals to enhance stroke prediction and monitoring of cardiovascular health. All in all, the application of artificial intelligence that incorporates machine learning, deep learning, or hybrid models gives robust tools toward …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 2, 2025 · pp. 18–26 Read article
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Nanoelectronics Based on Carbon Nanotubes
Abstract: Nanoelectronics, the study and application of electronic components and systems at the nanometer scale, plays a pivotal role in advancing modern technology toward faster, smaller, and more energy-efficient devices. Among the various nanomaterials explored for these applications, carbon nanotubes (CNTs) have emerged as one of the most promising candidates due to their exceptional electrical conductivity, mechanical strength, and thermal stability. This project report presents an in-depth exploration of the role …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 3, 2025 · pp. 40–53 Read article
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Role of Machine Learning Principles for Efficient Nuclear Fuel Management and Design
Abstract: The introduction of machine learning (ML) and evolutionary computation methods in addressing complex nuclear fuel management challenges has brought a significant positive change in the domain of nuclear fuel management. Key applications include fuel assembly design optimization, core loading pattern determination, burnup calculation acceleration, fuel performance prediction, and spent fuel characterization. The analysis reveals significant improvements in computational efficiency, prediction accuracy, and optimization capabilities when ML techniques are properly integrated …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 22–33 Read article
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Soil Salinity Assessment and Irrigation Water Quality of Humbo Woreda, Wolaita Zone, South Ethiopia
Abstract: Soil salinity affects the majority of Ethiopia's irrigated farmland, and chemical properties of irrigation water quality have major role in assessing the irrigation land salinity. The study has the objective of determining the soil salinity and irrigation water quality. The study was conducted in Humbo Woreda, Wolaita Zone in the South Peoples’ Regional State. The study used standard analytical techniques and methods to analyze different physiochemical parameters of both irrigation …
Published in Journal of Water Resource Engineering and Management · Vol. 12, Issue 2, 2025 · pp. 38–51 Read article
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Towards a Sustainable Future: A Comprehensive Study on Solar Power Satellites
Abstract: This study explores solar power satellites (SPS) as a promising solution for sustainable energy. Space-based solar power (SPS) offers a revolutionary approach to clean energy by collecting solar energy in space and transmitting it wirelessly to Earth. Unlike terrestrial solar power, SPS can operate continuously, unaffected by weather or nightfall, providing a stable and sustainable energy source. This study explores the core technologies that enable SPS, including advanced photovoltaic systems …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 1–8 Read article
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Doppler Limits of LoRa in LEO: A Critical Review of the First In-Orbit Flight Tests
Abstract: This study provides a comprehensive review of the seminal work by Zadorozhny et al., which presented the first in-orbit flight test results evaluating the impact of Doppler effects on LoRa modulation for Low Earth Orbit (LEO) satellite communications. The review summarizes the original study's methodology using the NORBY CubeSat, details its key findings regarding the operational limits imposed by static and dynamic Doppler shifts across various LoRa configurations (Spreading Factor …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 2, 2025 · pp. 21–27 Read article
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Advancing Brain Tumor MRI Segmentation
Abstract: Segmentation of brain tumors in MRI scans is an integral part of neuroimaging carried out for diagnostic and therapeutic interventions. Given that manual segmentation is cumbersome and highly variable, there arises a need for automated, more precise segmentation solutions. This project, ‘Machine Learning and Deep Neural Networks to Advance Brain Tumor MRI Segmentation’ will develop a better, efficient, and accurate segmentation model to help clinicians identify brain tumors with greater …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 2, 2025 · pp. 28–33 Read article
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Machine Learning-Based Disease Prediction: A Comparative Analysis for Diabetes, Brain Tumor, and Parkinson's Disease
Abstract: This paper presents a web-based disease prediction system that integrates machine learning and deep learning techniques to assist in the early detection of Parkinson’s Disease, Diabetes, and Brain Tumors. By utilizing clinical data and MRI images, the platform provides rapid and interpretable predictions to support proactive health management. Logistic Regression models are applied to classify structured datasets for predicting Parkinson’s disease and Diabetes, making use of their effectiveness in binary …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 44–54 Read article
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Corrosion Measurement and Hardness Test of Magnesium-Tri Calcium Phosphate Composite Fabricated by Stir Casting
Abstract: Magnesium MMC is preferred in applications requiring high-quality materials and has replaced monolithic materials. Bio-implants traditionally used are titanium, steel, and nickel-titanium alloys, however, their removal necessitates surgery, which is costly and painful. While biodegradable 3D-printed implants are effective and eliminate the need for a second surgery, they remain expensive. After several studies to solve this issue, the development of biodegradable implants is considered. Magnesium possesses good biodegradable properties. An …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 436–447 Read article
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Assessing of Forest Structure Using Earth Observation Data: A Case Study in Munessa Forest, Oromia Region, Ethiopia
Abstract: Understanding forest structure is crucial for estimating carbon emissions associated with forests, assessing forest degradation, and evaluating the success of forest restoration efforts. However, forest structure quantification is limited to the area of interest without considering the whole forest coverage. Forest structure may be easily assessed over a wide area using data from remote sensing. Thus, by combining ground observation with satellite-based light detection and ranging (LiDAR) and Sentinel 2 …
Published in International Journal of Land · Vol. 2, Issue 1, 2025 · pp. 28–37 Read article
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Impacts of Climate Change on Land Degradation: A Review of Mitigation
Abstract: Land degradation has emerged as one of the most pressing environmental challenges globally, significantly impacted by the multifaceted and escalating effects of climate change. The degradation of land, including soil erosion, nutrient depletion, deforestation, and desertification, directly threatens food security, biodiversity, and human livelihoods. As climate change leads to increasingly erratic weather patterns, including prolonged droughts, intense rainfall, and extreme temperatures, land degradation has become more pronounced and widespread, exacerbating …
Published in International Journal of Land · Vol. 2, Issue 1, 2025 · pp. 6–10 Read article
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Effect of Solution Heat Treatment and Aging on the tensile Properties of Ti-6Al-4V Alloy Component Manufactured by Wire Arc Additive Manufacturing
Abstract: Wire Arc Additive Manufacturing (WAAM) is a cost-effective technique for fabricating components from the Ti-6Al-4V alloy, known for its high strength and utility in demanding applications. To maximize its strength, the alloy undergoes Solution Treating and Aging heat treatment, comprising three key steps: (i) Solution Treating: The alloy is heated to 950°C (just below the β transus) and held for 1 hour, increasing the β phase proportion. This step sets …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 3, Issue 2, 2025 · pp. 1–6 Read article
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Fabrication of Natural Fibre Reinforced Polymer Composite by Hand Lay-Up Process
Abstract: The recent development in technologies has increased the usage of non-renewable resources during pro- duction due to remarkable properties. However, it has been a threat and unable to be replenished once used. In addition to this, natural fibre strengthens in a more significant way and it’s widely applicable in polymer composites materials. Furthermore, the use of plant fibres in polymer composites is due to its low cost and significant properties. …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 1, 2025 · pp. 13–19 Read article
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Polymer Chemistry in Medical Devices: A Focus on Injection Syringes
Abstract: Polymers play a crucial role in the medical field, particularly in the development of injection syringes. The use of polymers in syringe manufacturing provides several advantages, including biocompatibility, durability, cost-effectiveness, and ease of mass production. Compared to traditional glass syringes, polymer-based syringes offer enhanced safety by reducing breakability, improving lightweight handling, and enabling precise engineering of syringe components. Various types of polymers are utilized in syringe production, each chosen based …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 436–442 Read article
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Design and Development of Pipe Bending Machine
Abstract: The design and development of a pipe bending machine are crucial for various industrial applications, including the construction, automotive, and manufacturing sectors. Bending is a fundamental metalworking process that involves deforming pipes, tubes, square hollows, and rods without compromising their structural integrity. This study focuses on designing a cost-effective and efficient pipe bending machine that can accommodate different pipe sizes and materials. The key design considerations include selecting an appropriate …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 1, 2025 · pp. 22–30 Read article
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Polymer Chemistry in Biomedical Applications: Advances and Innovations
Abstract: Polymers have revolutionized biomedical sciences by playing a crucial role in medical devices, drug delivery systems, and tissue engineering. It is important to note that their unique combination of biocompatibility, mechanical strength, and chemical versatility makes them essential for applications such as implants, prosthetics, and diagnostic tools. Biomedical polymers are categorized into natural types (e.g., collagen, chitosan) and synthetic variants (e.g., polyethylene glycol, polylactic acid), each offering distinct benefits depending …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 Read article