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393 articles for “MAP”
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Xypher Bot: Autonomous Surveying Robot
Abstract: Xypher Bot is a fully autonomous robot built to carry out tasks like height measurement, estimating distance, and detecting objects. It uses affordable and easily available components such as the MPU6050 sensor, ultrasonic sensors, and a laser pointer. By using simple trigonometry, the bot can measure object height with good accuracy. The top part of the bot, which is responsible for height measurement, has already been built and tested. The …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 2, 2025 · pp. 49–62 Read article
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Progress in Renal Tumor Surgery: The Role of 3D Surgical Planning in Partial Nephrectomy
Abstract: Renal cell carcinoma is the most common form of kidney cancer, representing 2–3% of global cases, with the highest incidence in Western Europe. For small renal tumors, partial nephrectomy is the preferred treatment, where the tumor is surgically removed. This procedure does not affect oncological outcomes, allowing part of the kidney to remain functional. During tumor removal, the surgeon minimizes excessive bleeding and improves visibility by cutting off the arterial …
Published in Research and Reviews : Journal of Surgery · Vol. 14, Issue 3, 2025 · pp. 35–40 Read article
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Implementation and Impact of Lean Manufacturing: A Critical Review and Framework for Adoption
Abstract: Lean manufacturing has become a vital approach for organizations seeking to enhance efficiency, reduce waste, and strengthen competitiveness in dynamic industrial environments. Although lean principles are well established, industries continue to experience inconsistencies in implementation outcomes due to differences in organizational readiness, employee involvement, and managerial commitment. This study critically reviews existing research on lean manufacturing to examine its practical impact, the factors influencing its success, and the challenges that …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 2, 2025 · pp. 1–7 Read article
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Experimental Investigation into Surface Roughness of Polished Zinc Plate with Ultrasonic Vibration Using Single Pole Magnetic Abrasive Finishing
Abstract: This research investigates how applying ultrasonic vibrations influences the surface finish quality of zinc plates when using the Single Pole Magnetic Abrasive Finishing (SP-MAF) method. In SP-MAF, magnetic abrasive particles (MAPs)—amalgamation of ferromagnetic and abrasive materials—are guided by a magnetic field to achieve precise surface finishing. Introducing ultrasonic vibration improves the effectiveness of the flexible magnetic abrasive brush (FMAB), which forms as the MAPs align along the magnetic field lines. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1166–1178 Read article
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Early Alzheimer’s Disease Prediction Using Vision Transformers and Attention-Guided MRI Analysis
Abstract: Alzheimer’s Disease (AD) continues to be a major global health concern, with early detection being crucial for effective intervention. While conventional machine learning and convolutional neural network (CNN) approaches have made notable progress in automated AD diagnosis using MRI data, they often struggle with capturing long-range dependencies and maintaining spatial contextual awareness. In this research, we propose a novel framework using Vision Transformers (ViTs) for early Alzheimer’s prediction from 3D …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 30–40 Read article
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Machine Learning-Based Quantification of Polymer Structure Property Relationships for Predictive Material Design
Abstract: Polymer structures exhibit complex, hierarchical arrangements that strongly influence macroscopic properties, yet consistent quantification remains challenging due to nonlinear interactions and limited unified modeling strategies. Existing approaches inadequately capture generalized structure–property mappings across diverse polymer systems. This research aims to establish a machine learning-based quantification model for polymer structure–property relationships to support predictive material design. A Polymer Structure Property Dataset of 5,000 polymer samples includes structural descriptors and experimentally measured …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 737–754 Read article
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Generative Design of Bioactive Orthopedic Composites for Fracture Repair Using an Integrated Conditional GAN–Transformer Framework: A Multi-Objective Approach
Abstract: Orthopedic composite implants for fracture repair must simultaneously satisfy conflicting mechanical and biological demands: high fracture toughness, sufficient compressive stiffness, and bioactive surface chemistry enabling osteoblast adhesion and mineralization. Existing design approaches rely on trial-and-error experimentation, yielding sub-optimal trade-offs between these objectives. This paper presents an integrated conditional Generative Adversarial Network–Transformer (cGAN-T) framework for fully computational, multi-objective generative design of hydroxyapatite (HA)-reinforced polymer composite microstructures targeting Orthopedic fracture repair. A …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 21–35 Read article
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Bird-Tree Associations and Co-occurrence Patterns in Delhi: Implications for Urban Ecological Restoration and Invasive Species Management
Abstract: Urban trees and birds are intertwined indicators of ecological resilience in cities. This study maps citywide bird-tree interactions in Delhi, India, hosting more than 300 avian species. The city was divided into hexagonal grids, and bird-tree data (506 interactions) were collected through field surveys across 131 sites using standardised 1-kilometre transects. Native keystone species like ficus supported the greatest bird diversity, while invasive Prosopis juliflora was widely used for perching …
Published in Research & Reviews : Journal of Ecology · Vol. 16, Issue 2, 2026 Read article
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Solar Panel Defect Detection Using Geospatially-Aware Deep Learning framework
Abstract: Large-scale photovoltaic (PV) systems demand reliable inspection techniques to maintain efficiency, as manual methods remain labor-intensive and inconsistent. This study introduces a geospatially informed deep learning framework for defect detection and localization in PV panels from drone and satellite imagery. The framework incorporates an adaptive tiling mechanism that adjusts tile boundaries according to object size, reducing information loss and enhancing detection performance. In addition, coordinate transformation between image pixels and …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 2, 2026 Read article
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Institutional Engagement with Indigenous Knowledge: A Global Scientometric Analysis
Abstract: This study provides a comprehensive global scientometric analysis of institutional engagement with Indigenous Knowledge (IK) research from 1992 to 2025. It seeks to chart the transition from traditional preservation to contemporary digital curation and identify key geopolitical and disciplinary shifts. A corpus of 304 peer-reviewed publications was retrieved from Scopus. The study utilized science mapping via VOSviewer and performance metrics through the R-package Bibliometrix to assess longitudinal changes and thematic …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 2, 2026 · pp. 55–69 Read article
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Intelligent Farming: Integrating AI and IoT for Sustainable Agriculture.
Abstract: This study provides a comprehensive global scientometric analysis of institutional engagement with Indigenous Knowledge (IK) research from 1992 to 2025. It seeks to chart the transition from traditional preservation to contemporary digital curation and identify key geopolitical and disciplinary shifts. A corpus of 304 peer-reviewed publications was retrieved from Scopus. The study utilized science mapping via VOSviewer and performance metrics through the R-package Bibliometrix to assess longitudinal changes and thematic …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 2, 2026 · pp. 57–62 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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Understanding the Role of Remote Sensing Techniques in Monitoring Air Quality for Effective Adherence to Environmental Impact Assessment Practices in Nigeria
Abstract: The paper reviews the Nigerian Environmental Impact Assessment (EIA) Act, outlining the established air quality thresholds and emission caps for stationary sources. The standard applies to; common pollutants like sulphur dioxide, carbon monoxide, ozone, particulate matter and nitrogen oxides; toxic metals such as arsenic, nickel, cadmium and mercury; as well as volatile organic compounds, ammonia, antimony, zinc, formaldehyde and radon.It also describes the major classifications of remote sensing applications, including …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 2, 2026 Read article
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Computational Visualization of Spatial Variation of Wind Capacity Factor for Different Turbine Characteristics
Abstract: A methodological approach for visualizing the spatial variation of wind capacity factor for different turbine characteristics is described in this paper. A formulation for theoretical wind capacity factor for different turbine characteristics is extended to produce maps showing the spatial variation of capacity factor at different hub heights. Since the approach takes into account the interplay between site-specific wind speed characteristics and turbine characteristics including hub heights, it can facilitatea …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 11, Issue 1, 2020 · pp. 1–10 Read article
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Comparison of Vegetation and Water Indices Calculated on IRS LISS-3 and IRS-P6 AWiFS Data
Abstract: Remote sensing technologies provide stereo images which allow topographic mapping and the functionality gives not only static display but also analytical process. Vegetation indices and water indices have been proposed over last decades as the most suitable vegetation and water indices for a given remote sensing application. In this research study, the suitability and results show these indices (SVI, NDVI, SWI and NDWI) can apply on LISS-3 and Awifs, more …
Published in Journal of Geotechnical Engineering · Vol. 1, Issue 1, 2014 · pp. 10–14 Read article
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Assessment of Liquefaction Potential Index for Sylhet City considering Maximum and Average Amplification Factor
Abstract: Soil liquefaction often occurs in saturated or partially saturated silty or sandy soil when an earthquake generates dynamic cyclic stress in the soil mass, reducing shear strength and stiffness. This study aims to assess the seismic soil liquefaction hazard potential for Sylhet City using shear wave velocity profiles of 49 boreholes. Factor of Safety (FOS) was evaluated taking into account shear wave velocity and maximum intensity of surface acceleration corresponding …
Published in Journal of Geotechnical Engineering · Vol. 8, Issue 2, 2021 · pp. 1–12 Read article
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Effect of Seat dimensions on operator discomfort while operating Forklifts
Abstract: AbstractThe objective of the study is to investigate the body discomfort sensed by the forklift operators in their operation with respect to seat dimensions and determine the discomfort level at various working shift intervals such as the start of the shift, morning break, before lunch, after lunch, afternoon break and end of the shift with the help of Corlett and Bishop’s method of body mapping. A total of 47 operators …
Published in Journal of Industrial Safety Engineering · Vol. 4, Issue 3, 2017 · pp. 24–36 Read article
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Industry Responsive Metallurgical Engineering Education Quality Through TQM
Abstract: There is impending shortage of metallurgical engineering fresh graduates, partly due to their exodus into more remunerative and rosy sectors. This paper attempts to highlight the problems and also offers conceptual solutions to abate them. One of the most potent solutions lies in the requisite motivation of students to get thickly absorbed in the TQM (total quality management) environment. This paper attempts to pose issues and map the framework for …
Published in Journal of Materials & Metallurgical Engineering · Vol. 4, Issue 1, 2014 · pp. 13–22 Read article
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Cumulative Impact Assessment of Industrial Area: MIDC in Hinjewadi
Abstract: In the 21st century Industrial area weather their small scale or larger scale is increase as compare the staring 18th century. All these industries are constructed with different purposes and need as well, but the increasing industrial area is harmful or the main reason of the environment degradation. For the Environment protection concern United State of America introduces and applied Environmental Impact Assessment system in the beginning 1970’s and then …
Published in Journal of Production Research & Management · Vol. 10, Issue 3, 2020 · pp. 39–45 Read article
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Identification of Groundwater Potential Zones using Remote Sensing and GIS: a case study of watershed, Maharashtra, India.
Abstract: Water is one of the vital source for all livings beings for their survival. Water is needed for many activities like agriculture, industries, domestic, drinking and many other purposes. If we consider the earth as a whole, water covers the major portion of the earth. But among the total water on the earth, fresh water reserves are very less that is only 2.5%. Also the water availability is unevenly distributed …
Published in Journal of Water Resource Engineering and Management · Vol. 5, Issue 1, 2018 · pp. 14–24 Read article