SegIt is a novel, user-friendly, and highly efficient sensor data labeling tool designed to tackle critical challenges such as data privacy, synchronization accuracy, and memory efficiency inherent in existing labelin...
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With the widespread deployment of surveillance equipment for social security purposes, video data analysis has become increasingly challenging. To address this problem, we study video anomaly detection for automatical...
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In this paper we present the exploration of indoor positioning technologies for UAV s, and navigation techniques for path planning and obstacle avoidance. For the indoor positioning techniques, we employed Visual-Iner...
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Medium-voltage (MV) silicon carbide (SiC) MOSFETs play a pivotal role in various industrial applications, including electrical vehicles, DC fast charging stations, and renewable energy conversion systems, among others...
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With the continuous advancement of intelligent manufacturing, the efficient extraction of reusable typical process routes based on artificial intelligence for computer-aided process planning (CAPP) has emerged as a cr...
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Soil is the major source of infinite lives on Earth and the quality of soil plays significant role on Agriculture practices all ***,the evaluation of soil quality is very important for determining the amount of nutrie...
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Soil is the major source of infinite lives on Earth and the quality of soil plays significant role on Agriculture practices all ***,the evaluation of soil quality is very important for determining the amount of nutrients that the soil require for proper *** present decade,the application of deep learning models in many fields of research has created greater *** increasing soil data availability of soil data there is a greater demand for the remotely avail open source model,leads to the incorporation of deep learning method to predict the soil *** that concern,this paper proposes a novel model called Improved Soil Quality Prediction Model using Deep Learning(ISQP-DL).The work considers the chemical,physical and biological factors of soil in particular area to estimate the soil ***,pH rating of soil samples has been collected from the soil testing laboratory from which the acidic range has been categorized through soil test and the same data has been taken as input to the Deep Neural Network Regression(DNNR)***,soil nutrient data has been given as second input to the DNNR *** utilizing this data set,the DNNR method is used to evaluate the fertility rate by which the soil quality has been *** training and testing,the model uses Deep Neural Network Regression(DNNR),by utilizing the *** results show that the proposed model is effective for SQP(Soil Quality Prediction Model)with efficient good fitting and generality is enhanced with input features with higher rate of classification *** results show that the proposed model achieves 96.7%of accuracy rate compared with existing models.
The technical advancements in modernizing the world in every way possible have increased the usage of power and energy. Due to this, an increase in tariff, decrease in power quality, and frequent blackouts have increa...
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Abdominal Aortic Aneurysm (AAA) is a serious medical condition characterized by the abnormal enlargement of the abdominal aorta. If left untreated, AAA can have life-threatening consequences. Accurate segmentation of ...
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Malaria has spread worldwide since the early 20th century and causes nearly half a million deaths each year. Malaria is actually a curable and preventable disease if treatment initiatives are carried out early and eff...
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Precise object detection allows military personnel to clearly understand their surroundings, leading to planning effective military strategies. Particularly, satellites and drones allow real-time surveillance over lar...
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