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108 articles for “temporal analysis”
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VolleyNexis AI: A Multimodal Artificial Intelligence Framework for Opponent Strategy Prediction, Tactical Intelligence, and Athlete Performance Optimization in Volleyball
Abstract: The rapid advancement of Artificial Intelligence (AI) has profoundly transformed sports analytics, enabling deeper insights, real-time data analysis, and enhanced performance predictions. Noticeable results have been seen by enabling automated analysis of complex gameplay patterns along with athlete performance. Volleyball is a dynamic and strategic sport, which requires continuous tactical adjustments and constant monitoring of the player’s performance. This paper presents VolleyNexis AI, which is a multimodal artificial intelligence framework …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 2, 2025 Read article
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Feasibility of Temporal Monitoring of Flood Inundated Areas and Crop Damage Assessment using Multi- polarised Temporal SAR Data without any Ground Truth Campaign
Abstract: Floods are catastrophic events and lead to huge loss of lives and property. Quick assessment and mapping of area affected by the flood water and monitoring of flood event is very important for proper planning and timely rescue operations. Remote sensing technique plays a very important role to achieve these goals as remote sensing image (data) covers large area and the data can be analyzed quickly to provide timely assessment …
Published in Journal of Remote Sensing & GIS · Vol. 11, Issue 2, 2020 · pp. 35–44 Read article
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Identifying Trends in Landuse/Landcover Changes in Hisar Tehsil: A LCM Based Approach
Abstract: Land is a source of all basic human needs, (e.g., agriculture, forest, water supply etc.) which is being continuously depleted by various agents. Urban growth and urbanization are considered as one of the major factors responsible for change in landcover dynamics and depletion of land resources. As compared with other landcover classes such as agricultural land, urban land has smaller area coverage but its impact to the surrounding environment is …
Published in Journal of Remote Sensing & GIS · Vol. 8, Issue 1, 2017 · pp. 1–8 Read article
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Precipitation Trend Analysis by MK Test in Garhwal Region Districts of Uttarakhand (1901–2010)
Abstract: Climate change has disrupted the major climatic parameters at a global level. However, the changes having localized intensity are not equal for all regions especially in India. These changes must be quantified locally to manage the natural water resources more effectively. Precipitation is one of the most important climatic parameters. It has been widely measured as a starting point towards the apprehension of global climate change. The purpose of this …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 4, Issue 3, 2015 · pp. 25–35 Read article
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Spatio-temporal Distribution of Wildfire Occurrences on the Lake Floor of Lake Chad Based on Remotely Sensed Data
Abstract: Normal 0 false false false EN-US X-NONE X-NONE This paper analyzes the spatio-temporal distribution of wildfire occurrences on the lake floor of the Lake Chad using satellite remote sensing data. A combination of field survey and computation of fire pixel counts from MODIS images for the period 2001–2009 form the basis for this analysis. The result revealed that the highest number of fires occurred in 2001, with varying figures in …
Published in Journal of Remote Sensing & GIS · Vol. 2, Issue 2, 2011 · pp. 5–12 Read article
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Design & Analysis of Overhead Water Tank by Numerical and Software Techniques
Abstract: Water is one of the most important natural resource for the existence of human on the face of this earth. Water flow cycle is a complex network in which water from its original source is passed through multiple channels so as to reach in the consumable form. Overhead Tanks for an important reservoir for temporary water storage which is attached with the proper channels so as to ensure the flow …
Published in Journal of Water Resource Engineering and Management · Vol. 4, Issue 2, 2017 · pp. 5–12 Read article
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Study of Diurnal Anisotropy Variation in Cosmic Ray Intensity During Minimum Solar Activity Period
Abstract: we present a comprehensive study of cosmic ray variations over the period from 1964 to 2018, encompassing solar cycles 20, 21, 22, 23, and 24. Both annual average and day-to-day variations have been analyzed to capture the temporal dynamics of cosmic ray intensity across multiple solar cycles. The study focuses particularly on periods of minimum solar activity, namely the years 1965, 1976, 1986, 1996, and 2008, when cosmic ray modulation …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 2, 2025 · pp. 30–37 Read article
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Deep Learning-Based Thermal Prediction Models for Solid-State Electronic Devices
Abstract: The rapid advancement of solid-state electronic devices in high-performance computing, communication systems, automotive electronics, and renewable energy applications has significantly increased concerns related to thermal management and device reliability. Excessive heat generation in semiconductor devices adversely affects operational efficiency, switching performance, lifespan, and overall system stability. Traditional thermal prediction methods often require complex numerical computations and extensive simulation time, making them less suitable for real-time monitoring and adaptive control applications. …
Published in International Journal of Solid State Innovations & Research · Vol. 4, Issue 1, 2026 Read article
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Fractality of Magnetospheric Dynamics: A Diffusion Entropy Approach
Abstract: There are several self-organization processes in physics such as second-order phase transitions and associated scale-invariant phenomena, structure formation in thermodynamic systems away from equilibrium, self-organization of solitons into vortices in magnetized plasma etc. Space plasmas often display very complex behavior which includes multiscale dynamics, spatio-temporal chaos and self-organized criticality. The study of self-organization in magnetospheric plasma and its relation with instabilities is a subject at the forefront of space research …
Published in Research & Reviews : Journal of Physics · Vol. 7, Issue 2, 2018 · pp. 44–53 Read article
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A Study on Spatio-temporal Variation in Ambient Temperatures over Parts of Andhra Pradesh, India
Abstract: Climate change is one of the irreversible phenomena human beings ever faced in recent past. Hydro-meteorological variables provide efficient information to study the climate patterns over any region. This paper aims on narrowing down the areas which need immediate attention since high temperatures were recorded over them. This part of the study showed that hotspots analysis and cluster and outlier analysis are quintessential for policy makers to understand the higher-risk …
Published in Journal of Remote Sensing & GIS · Vol. 5, Issue 1, 2014 · pp. 1–15 Read article
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Advancements in AI-Driven Sound Spectrogram Analysis: From Deep Learning to Quantum and Neuromorphic Processing
Abstract: The rapid advancement of artificial intelligence (AI) has significantly reshaped the field of audio signal processing, with sound spectrogram analysis emerging as a central research focus. Spectrograms provide a rich time–frequency representation of audio signals, making them particularly suitable for data-driven learning approaches. This paper presents an in-depth and original review of modern AI-based techniques applied to spectrogram analysis, highlighting their growing impact across critical application areas such as healthcare …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 01–06 Read article
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Stability Analysis of Pontoons Under Breakwater and Mooring System
Abstract: Floating pontoons are the new advanced method and technology in the construction industry. Land issues are very common issues in various countries. Constructing on and in the waters is the only option to overcome the land issue. Also, the construction of the bridges and other water-based structures can be constructed by using pontoons. Pontoons have been used in construction since ancient times. This includes temporary bridges and small shelters. It’s …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 29–37 Read article
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Integrated, Geospatial Risk Assessment of Air, Water, and Soil Pollution Impacts on Agricultural Sustainability using Advanced Digital Technologies
Abstract: The systemic threat posed by the convergence of air, water, and soil contaminants represents a critical challenge to global agricultural resilience and food security. Traditional, site-specific pollutant monitoring methods are insufficient for capturing the dynamic, diffuse, and often nonlinear nature of environmental risk pathways that permeate agrarian landscapes. This study presents a robust framework for comprehensive risk assessment utilizing a synergistic suite of modern tools designed for spatial, temporal, and …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 2, 2025 · pp. 28–37 Read article
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Controlling Media Player Through Hand Gesture Recognition System Using CNN and RNN Models
Abstract: Artificial intelligence markup language (AIML) project represents a pioneering endeavor in the realm of media player control through hand gesture recognition, merging advanced technologies like convolutional neural networks (CNN) and recurrent neural networks (RNN). By harnessing the image analysis capabilities of CNN, our system ensures accurate, real-time detection, and interpretation of intricate hand gestures, enabling users to interact with their media content naturally and seamlessly. What sets our project apart …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 29–34 Read article
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Application of Convolutional Neural Networks in Design of Efficient Pipe Flow System
Abstract: Convolutional Neural Networks exhibit remarkable capabilities in flow pattern recognition, pressure drop prediction, leak detection, and system optimization through their ability to process complex spatial and temporal data patterns. The study examines CNN architectures specifically adapted for fluid dynamics applications, including data preprocessing techniques, feature extraction methods, and performance optimization strategies. Key applications include real-time flow monitoring, predictive maintenance, design parameter optimization, and anomaly detection in pipe networks. Comparative analysis …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 3, 2025 · pp. 1–9 Read article
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Analysis of Thermal Pattern Variation for River Ganges with Satellite Imagery
Abstract: Stream temperature is a fundamental aspect of water quality and ecosystem health of the river affecting its physical, chemical and biological processes; so the monitoring and understanding of the thermal regime of rivers is extremely important. Water temperature affects water quality such as dissolved oxygen, pH, salinity and it also has influence on growth and extent of aquatic organisms. Remote sensing applications can be an effective alternative to the conventional …
Published in Journal of Water Resource Engineering and Management · Vol. 7, Issue 3, 2020 · pp. 21–30 Read article
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Land Surface Temperature Analysis in an Urbanising Landscape through Multi-Resolution Data
Abstract: Rapid changes in the land use and land cover of a region have become a major environmental concern in recent times. This has lead to unsustainable development with the reduction of green spaces and also changes in local climate and formation of urban heat islands (UHIs). Monitoring and management of land use dynamics would help in land use planning and mitigation of environmental impacts.The main goal of this paper is …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 1, Issue 1-3, 2012 · pp. 12–21 Read article
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Recent Trends and Techniques in the Advanced Microcontroller Bus Architecture (AMBA) Protocol: A Comprehensive Review
Abstract: ARM has created the Advanced Microcontroller Bus Architecture (AMBA) that is used as the main method for communication on chips in today’s embedded systems. Since AMBA is built to scale and combine with other components, it allows data transfer to high-performance and low-power components easily. The paper discusses how AMBA protocols have evolved and presents new trends of producing higher data rates, conserving energy, and lowering latency. This study offers …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 3, 2025 · pp. 9–15 Read article
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Linear Stability Analysis of Taylor-Couette Flow with and without Viscous Heating
Abstract: This paper presents linear stability analysis of the incompressible viscous flow between the two concentric counter rotating cylinders. The parallel flow assumption is applied; hence the mean flow is the function of radial coordinate only. The main objective of this study is to explore the effect of the viscous heating, Nahme number and radius ratio (Ratio of inner to outer cylinder radius, η) on the stability characteristics of Taylor-Couette flow. …
Published in Recent Trends in Fluid Mechanics · Vol. 4, Issue 2, 2017 · pp. 15–22 Read article
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Crop Acreage Estimation in Jharkhand using Multi-temporal Satellite Data
Abstract: Information on crop acreage statistics and distribution of crops in different districts is required for planning and implementation of various government schemes. Further, information is also required on kharif fallow areas to enhance the cropping intensity. Therefore, in this context acreage assessment in different agriculture seasons i.e., kharif, rabi and zaid has been carried out in Jharkhand State using Landsat-8 OLI remote sensing data. Estimation was carried out for the …
Published in Journal of Remote Sensing & GIS · Vol. 11, Issue 3, 2020 · pp. 1–10 Read article