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65 articles for “spatial limit”
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Signal Identification of Differential STBC-OFDM System
Abstract: AbstractBlind recognition of communication parameters is a research topic of high importance for both military and civilian communication systems. Signal identification has emerged as an enabling technology for intelligent wireless communication systems with applications in military and commercial fields. Several identification algorithms are proposed for multiple antenna (MA) systems with multicarrier (MC) transmissions. The previously investigations are mostly limited to space-time block code (STBC) systems and space frequency block coding …
Published in Recent Trends in Electronics Communication Systems · Vol. 5, Issue 2, 2018 · pp. 21–27 Read article
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A study in Leveraging Deep Learning and IoT Arrays for Dynamic, Hyper-Local Atmospheric Intelligence
Abstract: The critical demand for high-resolution, actionable atmospheric data is challenged by the high cost and sparse coverage of traditional regulatory monitoring stations. This paper explores the synergistic paradigm shift enabled by integrating low-cost, dense Internet of Things (IoT) sensor arrays with advanced Artificial Intelligence (AI) methodologies, specifically Deep Learning (DL) models. We address the primary limitations of low-cost sensors—inherent bias, sensitivity to environmental drift (temperature/humidity), and calibration inconsistency—by utilizing AI …
Published in International Journal of Atmosphere · Vol. 2, Issue 2, 2025 · pp. 50–62 Read article
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Early Alzheimer's Disease Detection Using Deep Ensemble Learning and MRI Image Analysis
Abstract: Early detection of Alzheimer's disease (AD) is crucial to slowing cognitive decline and enabling timely clinical interventions. Traditional diagnostic methods, including cognitive tests and single-model classifiers, have limited sensitivity during early stages of the disease. This paper presents a deep ensemble learning approach that integrates multiple convolutional neural networks (CNNs) for accurate Alzheimer's disease detection using structural Magnetic Resonance Imaging (MRI) data. The proposed framework utilizes ResNet50, VGG16, and DenseNet121 …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 · pp. 1–9 Read article
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E-Commerce Clothing Platform with Virtual Try-On
Abstract: The inability to physically evaluate garments remains a major limitation in online clothing commerce. Customers often depend on static product images and generalized sizing charts, which do not accurately represent individual body proportions. This frequently leads to uncertainty during purchase decisions and increased product return rates. To address this limitation, this research proposes a web-based clothing e-commerce platform integrated with an intelligent virtual try-on mechanism. The system allows users to …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 1, 2026 · pp. 17–24 Read article
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Development of an Integrated System Prototype to Improve Decisions in Land Use Planning and Management in Ethiopia, Hawzen
Abstract: Constitutional land use planning provides a means of legal control over changes in land use and provides an opportunity to allocate land use to areas best suited to that activity. However, since land use planning is not surveying properly and essentially only deals with suggestions to improve land use system. Land use planning and resource management is a challenging task to many developing countries, due to limited technical resource. Currently …
Published in Journal of Remote Sensing & GIS · Vol. 8, Issue 1, 2017 · pp. 41–52 Read article
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GIS Based Fire Incident Emergency Response: A Case Study of Kano Urban Markets, Kano State, Nigeria
Abstract: Fire, a terrific type of disaster, can destroy properties and lives which in turn brings about physical, social, structural, economic and welfare disturbances in a community. Market fire is not an exception of such destruction. The aim of this research is to assess the markets’ fire emergency response with a view to optimize the use of road network for quick response to the incident in the study area. This study …
Published in Journal of Remote Sensing & GIS · Vol. 8, Issue 2, 2017 · pp. 15–24 Read article
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Generative AI for VR: Creating Physically Realistic Models
Abstract: Virtual Reality has revolutionized the traditional learning system by creating and interactive and engaging environment. However, its ability to show precise real-world experiences is limited due to lack of physical realism. This study investigates the potential of Generative Adversarial Network (GAN) in creating physically realistic 3D models. Proposed system incorporates deep learning techniques along with physics-based constraints to enhance model’s accuracy and usability. To achieve this, experiments were conducted on …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 3, 2025 · pp. 14–22 Read article
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Harnessing Artificial Intelligence for Precision Physics: A Machine Learning Framework for Data Reconstruction in Support of India's Deep-Tech Missions
Abstract: India's emergence as a global leader in deep-tech innovation is driven by ambitious scientific megaprojects, including the Laser Interferometer Gravitational-Wave Observatory (LIGO)-India, the X-ray Polarimeter Satellite (XPoSat), the Aditya-L1 solar observatory, and the National Quantum Mission (NQM). However, the unprecedented scale and complexity of the observational data generated by these missions present severe computational bottlenecks. Traditional analytical frameworks struggle with non-stationary noise transients, diffusion blurring, and the exponential scaling limits …
Published in Research & Reviews : Journal of Physics · Vol. 15, Issue 2, 2026 · pp. 48–55 Read article
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The Tapper Approach: An Integrated Framework for Land Degradation, Restoration, and Climate-Conflict Dynamics
Abstract: Land systems across the globe are increasingly exposed to multiple and interacting pressures, including land degradation, climate change, biodiversity loss, unsustainable land-use practices, rapid population growth, and socio-economic conflicts. These challenges not only reduce ecosystem productivity and resilience but also threaten food security, water availability, rural livelihoods, and long-term environmental sustainability. Despite the growing recognition of these interconnected issues, most existing conceptual and analytical frameworks continue to address them in …
Published in Research & Reviews : Journal of Ecology · Vol. 15, Issue 2, 2026 · pp. 24–30 Read article
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Geological Nutrient Sourcing of Potassium and Phosphorus in Agricultural Crops
Abstract: Potassium and phosphorus can be considered as important nutrients and are being supplied as ingredients in the fertilizers. In presence of potassium, the crop yields, shelf life, disease resistance and plant growth are improved. The mineral fertilizers have enhanced the crop yields and they are expected to segregate spatially. Due to the utilization of the mineral fertilizers, there was intensification of crops and they have helped humans to consume healthy …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 9, Issue 2, 2020 · pp. 24–28 Read article
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Spatial Based Tour Service in Facilitating Tourism Development in Tigray, Hawzen Woreda
Abstract: Tourism is the temporary movement of people to destinations outside their normal places of work and residence, the activities undertaken during their stay in those destinations, and the facilities created to provide to their needs. Tigray has so many attraction tourist areas such as more than hundred twenty rock-hewn churches; most concentrated in the Wukro-Gheralta corridor, constitute the core of Tigray’s open air museum. But the region has no its …
Published in Journal of Remote Sensing & GIS · Vol. 8, Issue 2, 2017 · pp. 45–53 Read article
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Nature-Integrated Day-Care Spaces: Fostering Early Childhood Growth in Lucknow
Abstract: The physical environment plays a vital role in shaping early childhood experiences, influencing cognitive, emotional, and social development. However, in rapidly urbanizing cities such as Lucknow, children’s exposure to natural environments has become increasingly limited, with most day-care centers confined within enclosed, concrete settings. This study investigates how the integration of natural elements within day-care interiors and outdoor spaces can foster holistic child development and enhance learning outcomes. Emphasizing the …
Published in International Journal of Architectural Design and Planning · Vol. 4, Issue 1, 2026 · pp. 7–18 Read article
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Land Use/Land Cover Change Dynamic of Bokaro District, East India Using Remote Sensing and GIS Techniques
Abstract: Land, sometimes referred to as dry land, is the solid surface of Earth that is not permanently covered by water. The study describes the land use and land cover (LULC) dynamics in Bokaro district at Jharkhand from 1991 to 2011 using Remote Sensing and Geographical Information System (GIS). Whatever, human activities is invented or generated begins from LAND. Therefore, its uses and disintegration by human throughout the period of time …
Published in Journal of Remote Sensing & GIS · Vol. 9, Issue 3, 2018 · pp. 16–22 Read article
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Remote Sensing and GIS-Based Approaches for Groundwater Contamination Assessment: A Comprehensive Review of Methods, Sources, and Emerging Trends
Abstract: Groundwater contamination poses a serious threat to sustainable water resources, especially in developing regions with limited monitoring infrastructure. This review provides an in-depth analysis of remote sensing (RS) and geographic information system (GIS) techniques applied to identify, monitor, and assess groundwater contamination. The study categorizes major sources of pollution, including industrial effluents, agricultural runoff, and geogenic inputs and examines how multispectral and hyperspectral satellite data contribute to indirect mapping of …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 · pp. 39–49 Read article
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Assessment of Different Methods for Soil Moisture Estimation: A Review
Abstract: Importance of precise soil moisture information is well understood in various fields like agriculture, hydrology, meteorology, environmental studies etc. Soil moisture is very dynamic, both temporally and spatially, therefore its continuous monitoring is necessary. There are various methods available to retrieve soil moisture status. All these methods have their own advantages and disadvantages and should be used with caution depending upon the requirements and demand of the project. In this …
Published in Journal of Remote Sensing & GIS · Vol. 9, Issue 1, 2018 · pp. 57–73 Read article
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Emerging Role of Drone Technologies in Environmental Research: Trends, Applications, and Future Directions
Abstract: Unmanned aerial vehicles (UAVs), commonly called drones, have rapidly transformed environmental research and management over the past decade. Their flexibility, improving sensor payloads, and ability to collect high-resolution spatial and temporal data make them powerful tools across disciplines — from biodiversity monitoring and precision agriculture to water quality assessment and disaster response. UAVs bridge the gap between ground-based surveys and satellite remote sensing by offering near-real-time, fine-scale data acquisition that …
Published in International Journal on Drones · Vol. 1, Issue 2, 2025 · pp. 34–42 Read article
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Geodetic Survey Control Networks Establishment using GNSS Online Data Post-Processing in Developing Countries
Abstract: Currently there are many online GNSS precise point positioning (ppp) post-processing services freely available to users. Three of them were used in this research: CSRS (Canadian Spatial Reference System) PPP, OPUS (On-line Positioning Users Service) developed by the National Geodetic Survey (NGS) and AUSPOS provided by Geoscience Australia. These solutions were tested to investigate the most suitable one for data processing in the Northern area of Cameroon which is likely …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 5, Issue 3, 2016 · pp. 34–41 Read article
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Working Principles and Performance Analysis of IEEE 802.11 and Sensor S-MAC
Abstract: Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 Wireless sensor network (WSN) is a wireless network consisting of spatially distributed autonomous devices which use large amount of energy, consuming battery-powered sensors to monitor physical or environmental conditions. Medium access control (MAC) protocols play a big role to reduce energy consumption in WSN. Designing power-efficient MAC protocol prolongs the life time of the network, can consume little power, and avoid …
Published in Current Trends in Information Technology · Vol. 5, Issue 3, 2015 · pp. 39–47 Read article
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Change Detection of Land Use/Land Cover in Upper Ganga Canal Command, India, Using Arc-GIS Tools
Abstract: The rapid growth of urban population in India is a cause of concern among the country’s urban and town planners for efficient urban planning. The drastic growth of urban areas has resulted in sharp land use and land cover changes. In recent years, the significance of spatial data technologies, especially the application of remotely sensed data and geographical information system (GIS) has been widely used. The present study investigates the …
Published in Journal of Remote Sensing & GIS · Vol. 4, Issue 3, 2013 · pp. 26–32 Read article
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Remote Sensing and Atmospheric Modelling: Data, Processes, Integration and Future Directions
Abstract: Atmospheric modelling plays a central role in weather forecasting, climate projection, and air quality assessment; however, the availability, accuracy, and representativeness of atmospheric observations fundamentally constrain its reliability. Over the past two decades, rapid advances in remote sensing (RS) have transformed atmospheric observation by providing spatially continuous, multiscale measurements of key atmospheric variables, including aerosols, trace gases, clouds, precipitation, and atmospheric thermodynamic profiles. This review synthesises recent progress in integrating …
Published in International Journal of Atmosphere · Vol. 3, Issue 1, 2026 · pp. 54–67 Read article