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880 articles for “EUMETSAT's Meteosat-9 satellite”
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An Overview on Microwave Remote Sensing for Earth Observation
Abstract: To understand the Earth from space, one must look beyond the visible eye. While optical satellites rely on the Sun’s reflection much like the human eye they are frequently blinded by the curtain of cloud cover, smoke, or the dark veil of night. To bypass these limitations, we turn to Microwave Satellite Sensing. By utilizing electromagnetic waves with wavelengths ranging from 1 millimeter to 1 meter, we can see through …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 1, 2026 · pp. 21–25 Read article
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The Integrity of Bio-Stimulant Efficiency of Mint Leaf (Mentha Piperita) on Crude Oil Remediation in Soil Environment
Abstract: This research addresses the integrity of biostimulant efficiency of mint leaf (Mentha piperita) on crude oil remediation in soil environments. The soil environment consideration in this investigation is loamy and some soil properties were examined; obtained data revealed a nitrogen value of 5.82%, phosphorus value of 46.91mg/kg, potassium value of 417.51mg/kg, and hydrogen-utilizing bacteria (HUB) value of 13.19cfu/g for unpolluted loamy soil, whereas polluted soil with crude oil data are …
Published in International Journal of Pollution: Prevention & Control · Vol. 4, Issue 1, 2026 · pp. 41–47 Read article
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Design And Implementation Of A Multi-Modal Mobile Application Safety Analytics Utilizing Nlp
Abstract: This study suggests a multi-modal mobile app safety analytics platform that uses natural language processing (NLP) to handle voice, text, and SOS messages. For effective intent recognition and decision-making, the platform processes all messages in a standard text or SOS flag format. Tokenization and normalization are used to process text communications, whereas noise reduction and text conversion are used to handle voice messages. For a quicker response, the SOS messages …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 2, 2026 Read article
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A Low-Cost Multi-Sensor IoT System for Real-Time Segregation of Polymer Waste
Abstract: Segregation of solid waste is a critical aspect of waste management, especially in settings where technical and financial constraints limit the adoption of sophisticated technologies. The proposed low cost, sensor-driven smart waste sorting system combines a variety of sensing technologies with an integrated decision-making system. The system employs an inductive sensor, moisture sensor and capacitive sensor to measure the physical properties of waste items, allowing segregation into metal, wet and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 90–`107 Read article
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Development of Neuromorphic Polymer Composites Using IoT Sensing and Brain-Inspired Learning Algorithms
Abstract: This research aims to develop neuromorphic polymer composites by combining conductive sensing materials, IoT-based sensing data collection and brain-inspired learning models for adaptive response. Hybrid conductive polymer composites were developed by adding carbon nanofibers and graphene Nano platelets to a thermoplastic polymer. IoT sensors (strain, temperature) were employed to collect real-time sensing data that was combined with environmental data. A material-aware neuromorphic learning algorithm was created with event-driven spike coding …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 755–784 Read article
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ASSESSING OF FOREST STRUCTURE USING EARTH OBSERVATION DATA: ACASE STUDY IN MUNESSA FOREST, OROMIA REGION, ETHIOPIA
Abstract: Forest structure is essential for estimating forest-related carbon emissions, analyzing forest degradation, and quantifying the effectiveness of forest restoration initiatives. However, forest structure quantification is only limited to the specific area of interest without considering the whole forest coverage. Remote sensing data can easily deliver a large area to assess forest structure. Therefore, this study aims to assess forest structure of Munessa Natural Forest by integrating satellite based light detection …
Published in International Journal of Land Read article
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Automated Machine Learning System for Model Selection and Hyperparameter Optimization
Abstract: The proliferation of machine learning applications in various scientific and industrial domains has given rise to an urgent need for developing principled, automated techniques for optimal architecture selection and hyperparameter tuning for machine learning models without human expert intervention. In this paper, we introduce the Automated Machine Learning System for Model selection and hyperparameter Optimization (AMLSMO)—a state-of-the-art, all-encompassing AutoML system that combines the power of meta-learning-based warm-starting, Bayesian Optimization with …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 15–23 Read article
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Transfer Learning Based High-Precision Multi-Class Object Detection for Real-Time UAV Autonomous Landing via YOLOv8l in Unstructured Scenarios
Abstract: A significant challenge for autonomous drone landings in unstructured environments is that of reliably detecting and identifying objects in real-time to ensure safety and accuracy of the landing area. This paper presents a well-founded method for solving this problem using the YOLOv8l object detection framework to detect landing zones, obstacles and people in the relevant vicinity of the landing area. The dataset used for the training of the model contained …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Real-Time Deepfake Detection in Video Conferencing Systems
Abstract: Deepfake technology presents non-exemplary threats to video conferencing platforms, enabling advanced fraud, impression and misinformation campaigns worth billions annually. Current detection methods either exhibit latencies exceeding 100ms or rely on server-side cloud processing, raising privacy concerns. This paper presents DeepConfGuard, a lightweight hybrid architecture combining MobileNetV2 for spatial feature extraction, a bidirectional LSTM with attention for temporal modelling, and EfficientNetV2 for refinement. It reaches 94.8% accuracy with 85 ms end‑to‑end …
Published in International Journal of Electronics Automation · Vol. 4, Issue 2, 2026 Read article
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Evaluation of Chemical Application as Pilot to Improve Oil Production from High Viscous Oil in Sandstone Reservoir
Abstract: Chemical injection stimulation is one of worldwide proven technologies for viscosity reduction and mobility enhancement. The principle mechanism is to reduce heavy oil viscosity by injecting of active chemical agent solution into reservoir as huff and buff practice, the agent solution is act at near wellbore area by remove plugging of heavy organic material, Energy support due to large quantity of stimulation liquid being injected into the formation, viscosity reduction …
Published in Journal of Petroleum Engineering & Technology Read article
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Heat Sink-PCM Device for PV Efficiency Improvement
Abstract: This paper is focused on the development of a second stage of a previous work where the PV panel efficiency is improved by using a hybrid system made up of a PCM attached to the rear side of the panel. This evolved stage incorporates a heat sink unit to improve the distribution of the heat removed from the panel; this improvement reduces the elapsed time to reach the steady state …
Published in Journal of Thermal Engineering and Applications Read article
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Rooftop Layout Optimization for PV Installation using GIS
Abstract: In this work, we develop a new modelling process to optimize the PV installation layout on industrial building rooftops; the model searches for maximizing the number of installed PV panels in a defined spot area, characterized by its shape, size, tilt and orientation. The study focuses on areas of latitude between tropics, but is useful for other latitudes. The method is applied to an industrial conglomerate of reference, made up …
Published in Journal of Remote Sensing & GIS Read article
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Formulation Development and In Vitro Evaluations of Trimetazidine and Clopidogrel Bilayered Tablets
Abstract: The Bilayered tablets consisting of Trimetazidine SR as well as Clopidogrel IR were efficiently prepared by damp granulation technique as well as straight compression approach specifically. The prepared powdered mix (SR) were also preserved the physiochemical residential or commercial properties of tablet computers such as thickness, firmness, weight variant, friability and drug material. The enhanced formula consists of the average thickness of 3.1 ± 0.034, average firmness of 4.2 ± …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 8, Issue 3, 2023 · pp. 29–40 Read article
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Assessment of Knowledge and Estimated Burden of Life Style Diseases in a Rural Community
Abstract: Although rapid human evolution has brought about advancement, it has also caused several lifestyle ailments. People’s daily routines have drastically changed as a result of emerging technologies, and it paved the way for numerous life style disorders. According to reports, lifestyle diseases are a major cause of increased mortality globally. Our study highlights the prevalence of life style diseases in the rural community and the need for early identification and …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 1, Issue 1, 2023 · pp. 33–38 Read article
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Analysis of Fibre Reinforced Beams
Abstract: There has been research into the flexural behaviour of composite beams with a variety of fibre layer depths, all of which were designed using the balancing section and the limit state design idea. The fibre depth is estimated to be 112 mm (d = 112 mm), with the first three dimensions being 94.44 mm (d1 = 94.44 mm), 46.12 mm (d2 = 22.35 mm), and 22.35 mm (d3) respectively. The …
Published in Journal of Polymer & Composites · Vol. 11, Issue 4, 2023 · pp. 53–59 Read article
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Effect of Initiation of Breast-Feeding on Maternal-Newborn Attachment: A Cross-Sectional Study
Abstract: Introduction: Breastfeeding is the best approach for meeting an infant's psychological and physiological needs. The importance of breastfeeding is best understood in light of the fact that early breastfeeding initiation and skin-to-skin contact soon after birth are essential for a newborn's survival. The connection between a mother and her infant plays a vital role in a child's growth and maturation. Hence, a research investigation was carried out to analyze how …
Published in International Journal of Midwifery Nursing And Practices · Vol. 1, Issue 2, 2023 · pp. 1–9 Read article
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Effect of Energy, Lysine and Energy/Lysine Ratio on Growth Performance Nutrient Digestibility and Serum Profile of Growing Locally Adapted Turkey
Abstract: This study investigated the effects of different levels of energy, lysine and energy/lysine ratios on growth performance, nutrient digestibility, and serum biochemical indices of locally adapted turkeys. The experiment lasted for 28 days. A total of one hundred and forty-four, 4-weeks old locally adapted turkey poults were completely randomized to six dietary treatments in a 2×3 factorial arrangement, replicated twice at 12 poults per replicate. Six diets were formulated. Diets …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 1, Issue 1, 2023 · pp. 01–08 Read article
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Procedure for Conventional Facial Emotion Detection Algorithms Based on Machine Learning
Abstract: Researchers in psychology, computer science, linguistics, neurology, and allied fields have become more interested in a human-computer interface system for autonomous face recognition or facial expression recognition. This study has recommended an Automatic Facial Expression Recognition System (AFERS). The proposed methodology consists of face detection, feature extraction, and facial expression identification processes. The initial phases of the face detection procedure include skin color identification using the YCbCr color model, illumination …
Published in International Journal of Electronics Automation · Vol. 1, Issue 1, 2023 · pp. 07–13 Read article
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Oral Self-examination: An Approach for Early Recognition of Oral Cancer Among Factory Workers: An Experimental Study
Abstract: Background: Cancer is a worldwide concern and ranks among the most dreaded illnesses across the globe. Oral cancers are one common cancer among all cancers. Objectives: To measure the existing knowledge concerning oral self-examination for timely recognition of oral cancer among factory workers and to develop and administer a planned health education programme of oral self-examination for early recognition of oral cancer among factory workers. 40 factory workers were selected …
Published in International Journal of Oncological Nursing and Practices · Vol. 1, Issue 2, 2023 · pp. 22–26 Read article
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Exploration of Mechanical Characteristics and Microstructural Analysis of Copper Matrix Composites with Hybrid Reinforcements via Muffle Furnace Sintering
Abstract: Metal Matrix Composites (MMCs) have drawn a lot of interest in the area of innovative materials because of how widely they may be used. Due to their extraordinary qualities, such as high thermal conductivity, higher temperature endurance, improved corrosion resistance, and great weldability, copper matrix composites stand out among them. These qualities make them desirable and promising materials for uses including heat exchangers, automotive parts, and electrical components. In this …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 119–126 Read article