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29 articles for “memory usage”
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Advanced AI based Energy Monitoring and Demand Prediction with Theft Detection
Abstract: This paper presents a study on an AI-based energy management system, which is designed for real-time monitoring of energy consumption for theft detection and energy demand prediction. Our energy management system has voltage and current sensors for energy consumption measurement and provides real- time data on voltage (V), current (mA), and energy units. We have implemented Machine Learning algorithm SVM to improve the process of theft detection by identifying anomalies …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 17, Issue 1, 2026 · pp. 1–8 Read article
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Neurotoxic Effects of Chronic Arsenic Exposure Among Leather Tannery Workers in Kanpur
Abstract: Chronic arsenic exposure is a known health risk, with potential neurotoxic effects. In industrial settings like leather tanneries, workers are particularly vulnerable due to prolonged exposure to chemicals, including arsenic. This study aims to investigate the neurotoxic effects of chronic arsenic exposure among leather tannery workers in Kanpur, focusing on symptoms of neurological damage and related health outcomes. To evaluate the prevalence of neurotoxic symptoms among leather tannery workers in …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 2, 2025 · pp. 39–46 Read article
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Review on Multicore Processors
Abstract: AbstractMulti-core processors based product servers recently progress toward becoming building obstructs for superior computing Linux bunches. The multi-core processors convey better execution to cost proportions in respect to their single-core predecessors through on-chip multi-threading. In any case, they exhibit challenges in growing superior multi-strung code. In this paper, we concentrate on the execution of various programming hindrance calculations on Intel Xeon and AMD Opteron multi-center processor based servers. Particularly, we …
Published in Recent Trends in Parallel Computing · Vol. 4, Issue 1, 2017 · pp. 30–41 Read article
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Deep Learning for Grape Cluster Segmentation
Abstract: Grape cluster identification and its segmentation for the purpose of vineyard total weight prediction tasks indicate the need for more accurate segmentation atomization. The Grape Cluster Segmentation challenge is supplied as an answer the usage of deep neural community fashions including YOLO v3, Mask RCNN, and U-net. In the sense of a modified U-net model for segmenting grapes using training and testing strategies, this contribution contributes to the validation of …
Published in Recent Trends in Programming languages · Vol. 8, Issue 2, 2021 · pp. 23–32 Read article
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Caching Proposal Based on Least Recently Used Algorithm and AVL Tree
Abstract: In proxy caching, the cache server gets the request for an object from a consumer. A cache is most likely saved in memory or on disk. A memory cache is in the main greater hastily to study from than a disk cache. The Least Recently Used (LRU) cache replacement calculation is a straightforward and by and large utilized plan. Proxy caching is a unique procedure to lower network traffic and …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 5, Issue 2, 2018 · pp. 37–47 Read article
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Study of Nano Germanium and Composited Forms
Abstract: This article has reviewed refinement synergism to same as earlier bulk semi-conduction. Colloidal 5 nm suspension from photolysis and pyrolysis for aerogel of II-VI quantum dots has subsidized extinction contour of semiconductor nano-crystal. Thereby transitional has accused between 0.6 to 5 eV to access from size-dependent optical and electrical effect instead of precipitation technique. Structure-oriented electronic and optical property has relevance to nano-semiconductor preparation method synergistic to earlier bulk. Nano-crystals …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 8, Issue 2, 2021 · pp. 8–15 Read article
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A GIS Based Tool to Digitize Polygon and Line Segments of a Black and White Map
Abstract: In this paper a GIS based tool has been proposed to digitize polygon and line objects throughefficient usage of RGB values of the segments of raster maps. For digitization of polygon,initially a closed loop is drawn inside the polygon segment. Beginning from the initial point ofthe closed loop, eight connected pixels calculation is incorporated to obtain the pointsexisting in between the loop and the actual boundary. The points which exist …
Published in Journal of Remote Sensing & GIS · Vol. 7, Issue 1, 2016 · pp. 27–41 Read article
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Harnessing Deep Learning to Explore Microbial Community Structure and Carbon Storage Capacity in Mangrove Ecosystems: A Framework for Computationally
Abstract: Mangrove ecosystems represent one of the most efficient natural carbon sinks on Earth, functioning as critical blue carbon habitats that sustain diverse microbial communities responsible for biogeochemical cycling and long-term carbon storage. Despite their global ecological significance, accurately quantifying and predicting carbon sequestration in mangrove systems remains challenging due to the complex interactions between microbial diversity, sediment chemistry, and environmental drivers. This study presents a comprehensive and sustainable artificial intelligence …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 · pp. 41–49 Read article
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A Correct and Simple Method of Writing PFC Codes
Abstract: Data compression (DC) is thriftiness in conveying information and is akin to précise that is, the goal is to convey the same or essential information using fewer resources. In electronic engineering, it occupies an important place because it reduces the size/amount of (i) memory required to store information just like précis reduces the size of an article; (ii) bandwidth required to transmit the information—just as less number of passengers means …
Published in Current Trends in Signal Processing · Vol. 4, Issue 3, 2014 · pp. 8–13 Read article