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217 articles for “gene mapping”
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A Next-Generation IoT-Enabled Smart Cane for the Visually Impaired: Integration of Advanced Navigation, Context-Aware Obstacle Detection, and Real-Time Voice Guidance
Abstract: The rapid growth of Internet of Things (IoT) technologies, combined with advances in embedded systems and artificial intelligence, has opened new possibilities for developing assistive mobility solutions tailored to the needs of individuals with visual impairments. This paper introduces an IoT- enabled smart cane designed to enhance independent mobility through intelligent environmental interpretation and context-aware navigation. Unlike traditional canes that rely solely on tactile feedback, the proposed system incorporates multiple …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 1, 2026 · pp. 12–17 Read article
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Development and Analysis of General-Purpose Drone
Abstract: In recent years, drones have become indispensable tools across various industries, thanks to their versatility and wide-ranging applications. The fabrication of drones is a complex process that integrates multiple engineering disciplines, including mechanical design, electrical systems, aerodynamics, and software development. The meticulous design of the drone's frame, taking into account factors such as weight, durability, and aerodynamic efficiency, marks the commencement of the fabrication process. The paper presented a comprehensive …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 4, 2024 Read article
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Spatial Multi Criteria Evaluation for Solid Waste Disposal Site Selection in Tigray, Northern Ethiopia: Case Study of Wukro and Adi-gudom Towns
Abstract: Identifying solid waste disposal sites and appropriately managing them is challenging task to many developing countries. This is also a critical problem in Ethiopia in general and in the towns of Wukro and Adi-gudom in particular. The existing waste disposal sites of both towns are not sufficient in capacity; and due to the location of the sites and the type of wastes dumped the surrounding areas are impacted severely. The …
Published in Journal of Remote Sensing & GIS · Vol. 7, Issue 3, 2016 · pp. 1–9 Read article
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Hyper Personalization Using AI: Elevate Fitness
Abstract: In the modern era, many individuals find it challenging to prioritize their health and well-being due to busy lifestyles filled with work, academic, and personal obligations. Conventional fitness and nutrition programs often apply uniform strategies that overlook individual differences in body type, preferences, and goals. This lack of real-time feedback and contextual customization often leads to poor user engagement and unsatisfactory results over time. Elevate is a comprehensive, AI-powered fitness …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 3, 2025 · pp. 10–21 Read article
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Advancements and Challenges in Automated Guided Vehicles for Smart Industrial Automation
Abstract: Automated Guided Vehicles (AGVs) are increasingly central to modern industrial automation, enhancing operational efficiency in manufacturing, warehousing, and logistics. Traditionally reliant on fixed paths using magnetic tapes or wired tracks, AGVs were limited in flexibility. However, recent technological advances have enabled the development of autonomous AGVs equipped with sensor fusion, LiDAR, computer vision, and artificial intelligence (AI). These features support real-time obstacle detection, dynamic path planning, and robust performance in …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 1–5 Read article
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Improvement of a Geospatial Web-Network for Road Substructure Management in Mekelle City, Ethiopia
Abstract: Infrastructure is a framework which covers the basic facilities and capacities of material, institutional and personnel kind which are essential for the functioning of a national economy. Road is key infrastructure which leads to an overall better standard of living; it is currently the heart of regional connectivity of a continent. Road substructure management is a challenging task to many developing countries, due to limited technical resources. This is a …
Published in Journal of Remote Sensing & GIS · Vol. 7, Issue 3, 2016 · pp. 35–46 Read article
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Evolution of Lean Manufacturing in Mechanical Industries: From Traditional Tools to Digital Transformation
Abstract: Lean manufacturing has long been a foundational strategy for enhancing productivity, reducing operational waste, and improving overall efficiency in mechanical industries. Initially developed as part of the Toyota Production System, lean principles focused on eliminating non-value-adding activities and streamlining processes using a set of well-established tools such as 5S, Kaizen, Kanban, and value-stream mapping. Over the decades, these principles have been adopted and refined globally, particularly within the mechanical sector, …
Published in Journal of Production Research & Management · Vol. 15, Issue 2, 2025 · pp. 13–18 Read article
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Tools and Techniques for Whole-Genome Alignments
Abstract: The prediction of evolutionary relationships between two or more genomes at the nucleotide level is known as whole-genome alignment (WGA). It possesses characteristics of both gene orthology prediction and collinear sequence alignment. WGAs are useful for genome-wide analyses like phylogenetic inference, genome annotation, and function prediction. So many solutions have been developed despite the fact that this problem is difficult. This article provides an overview of the approaches used to …
Published in Research and Reviews : Journal of Computational Biology · Vol. 11, Issue 2, 2022 · pp. 36–38 Read article
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Use of Machine Learning Algorithms in Power System Load Forecasting: A review
Abstract: The electrical load forecasting has become one of the most important fields of research for secured, efficient, accurate, reliable power dispatch and management. The main aim of load demand forecasting is to predict the load demand for accurate generation scheduling, system security and economic dispatch of load at any time. Many Authors have done research on the evaluation of load forecasting methods, to improve the accuracy of prediction. In load …
Published in International Journal of Microwave Engineering and Technology Read article
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Modern Progress in the Advance of High-Efficiency Perovskite (CH3NH3PbI3) Solar Cell using different Hole Transport Layer
Abstract: One viable alternative for creating new clean energy is solar cells, although they might need additional energy sources. The affordable, easily accessible, and greenhouse gas-free nature of a renewable energy source are its defining characteristics. An alternative that can generate power by converting solar photons into electrical energy is a photovoltaic cell. Over the past 20 years, scientific advancements in photovoltaic technology have presented a number of real-world opportunities that …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 15, Issue 2, 2024 · pp. 20–29 Read article
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Study of Proximity Points and Fixed Points
Abstract: This paper explores the concepts of proximity points and fixed points, which are fundamental in mathematical analysis and nonlinear functional analysis. Fixed-point theorems play a crucial role in optimization, game theory, differential equations, and dynamic systems. Proximity points, an extension of fixed points, provide a more generalized approach, allowing near-coincidence rather than exact identity. The study discusses classical fixed-point theorems, such as Banach’s contraction principle, Brouwer’s fixed-point theorem, and Schauder’s …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 28–31 Read article
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GIS and Remote Sensing in Mapping Aquatic Vegetation, The Food Source of Waterfowl
Abstract: Carrying out time and cost effective field surveys has always been a great concern of ecological studies of a large spatial scale. We studied the possibilities to map the distribution of submerged aquatic vegetation in a shallow lake using satellite imagery. We also went further to investigate the relationship of the predicted biomass per creek and bird densities. The study was carried out with an IKONOS image of the Lauwersmeer …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 4, Issue 2, 2015 · pp. 1–10 Read article
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Predictive Modeling of Polymer Composites for Medical Implants Using Artificial Intelligence Techniques
Abstract: The use of polymers in biomaterials was now key to designing the next generation of medical implants, which need to be strong and also compatible with living tissue. Tests for biocompatibility, such as those done in the laboratory and by doing experiments on animals, require much time and many resources, so the need for computer-based approaches becomes clear. An artificial intelligence approach was provided in this study to determine how …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 665–692 Read article
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Technical Advances in Drone Applications for Environmental Surveillance
Abstract: Unmanned Aerial Vehicles (UAVs), or drones, have rapidly evolved into essential tools for environmental monitoring and conservation due to their advanced sensor integration, real-time data acquisition, and autonomous operational capabilities. This review explores the multidisciplinary convergence of drone technologies with environmental science, emphasizing the technical and engineering aspects that drive these applications. The study outlines key UAV system components—including multispectral and hyperspectral imaging, LiDAR, thermal sensing, and real-time GPS-AI integration—highlighting …
Published in International Journal on Drones · Vol. 1, Issue 2, 2025 · pp. 14–20 Read article
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Revolutionizing Petrology and Mineralogy: The Study of AI and Advanced Sensor Technologies
Abstract: Petrology and mineralogy are fundamental to understanding Earth's intricate processes, from crustal evolution to economic resource formation. However, traditional methods, while precise, are often laborious, time-consuming, and occasionally subject to interpretive bias. This abstract explores the transformative potential of integrating cutting-edge Artificial Intelligence (AI) and advanced sensor technologies to revolutionize data acquisition, analysis, and interpretation in these critical geosciences. Advanced sensor technologies, including high-resolution spectral imaging (hyperspectral, Raman), automated X-ray …
Published in International Journal of Minerals · Vol. 2, Issue 2, 2025 · pp. 1–11 Read article
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Optimized Utilization of Kota Stone Slurry Waste in Fly Ash–Based Geopolymer Mortar: A Taguchi-Driven Approach
Abstract: The large-scale generation of stone-processing wastes presents a critical sustainability challenge and an opportunity for value-added reuse in construction materials. This study develops a high-performance fly ash geopolymer mortar by partially replacing Class F fly ash with Kota stone slurry waste (KSSW) and optimizing the key mix parameters using a Taguchi design framework. Five governing factors—binder replacement level, NaOH molarity, sodium silicate–to–sodium hydroxide ratio (SS/SH), curing temperature, and alkaline solution-to-binder …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 426–445 Read article
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Soil Erosion and Sediment Export in Berta Watershed Using GIS and USLE Model in Central Rift Valley Basin, Ethiopia: Implications for Sustainable Natural Resources Management
Abstract: Soil erosion and sedimentation of lake due to runoff is a major problem in Southern Ethiopia. Berta watershed is one of the watersheds in Rift valley Basin, contributing runoff to small Abaya (Tuffa) lake. However, no studies have been conducted on soil erosion and sediment yield from the entire watershed. Therefore, an updated Universal Soil Loss Model and Geographic Information System have been used to start the current study, which …
Published in Research & Reviews : Journal of Ecology · Vol. 12, Issue 1, 2023 · pp. 12–25 Read article