標題: Titlebook: Artificial Intelligence and Sustainable Computing; Proceedings of ICSIS Manjaree Pandit,M. K. Gaur,Sandeep Kumar Conference proceedings 202 [打印本頁] 作者: Causalgia 時間: 2025-3-21 19:38
書目名稱Artificial Intelligence and Sustainable Computing影響因子(影響力)
書目名稱Artificial Intelligence and Sustainable Computing影響因子(影響力)學科排名
書目名稱Artificial Intelligence and Sustainable Computing網絡公開度
書目名稱Artificial Intelligence and Sustainable Computing網絡公開度學科排名
書目名稱Artificial Intelligence and Sustainable Computing被引頻次
書目名稱Artificial Intelligence and Sustainable Computing被引頻次學科排名
書目名稱Artificial Intelligence and Sustainable Computing年度引用
書目名稱Artificial Intelligence and Sustainable Computing年度引用學科排名
書目名稱Artificial Intelligence and Sustainable Computing讀者反饋
書目名稱Artificial Intelligence and Sustainable Computing讀者反饋學科排名
作者: 否決 時間: 2025-3-21 22:21 作者: RAG 時間: 2025-3-22 00:33
Arthur P. Hurter Jr.,Joseph S. Martinichay, producing major difficulties such as road accidents and traffic bottlenecks. These issues can be optimized by taking suitable lane changing decision on time and safely lane change take place. This article analyzed the causes of lane change and during the lane change taken adaptive data transmiss作者: conifer 時間: 2025-3-22 06:50
https://doi.org/10.1007/978-3-662-07171-7 neural networks and image recognition, computer vision and deep learning techniques have revolutionized wildlife monitoring. YOLO (You Only Look Once) is recognized as one of the most popular and highly accurate computer vision algorithms, designed specifically for object detection. This paper resp作者: invulnerable 時間: 2025-3-22 10:49 作者: 消瘦 時間: 2025-3-22 16:36
https://doi.org/10.1007/978-3-662-56230-7as to contribute to the preservation of the natural environment by investigating the species of fish present in different bodies of water. The research used three deep learning algorithms: Haar Cascade, Single-Shot Multibox Detector, and inception method for automatic fish detection. The study targe作者: 額外的事 時間: 2025-3-22 20:00
https://doi.org/10.1007/978-3-662-56230-7lite can affect the constellation’s ability to perform the intended operation, requiring identification, trajectory tracking, and pose estimation of the damaged satellite. Standard models of orbital motion have been found to be deficient in analysing the unpredictable orbital motion of these uncoope作者: defenses 時間: 2025-3-22 22:03 作者: Proponent 時間: 2025-3-23 03:09 作者: PANIC 時間: 2025-3-23 06:33 作者: 巨大沒有 時間: 2025-3-23 11:49
Facility-Management-Selbstdiagnose,v4 with ResNet101. They were trained using the same hyperparameters, with slight adjustments made if needed. YOLOv4 emerged as the top performer, achieving an AP. of 90% and mAP of 55%, while Faster RCNN followed with an AP. of 88% and mAP of 50%. The study proposes a pothole coordinate approximatio作者: DOSE 時間: 2025-3-23 17:31
Rainer K?llgen,Christopher H. Wolfto severity and lose their precious lives because of road accidents. Exhaust driving and fatigue are the key reasons behind the road accidents. Detecting the fatigue in the initial stage would possibly reduce these accidents. Researchers are addressing the possible methods for detection of driver’s 作者: ATP861 時間: 2025-3-23 20:34 作者: 鎮(zhèn)痛劑 時間: 2025-3-24 00:27
https://doi.org/10.1007/978-3-662-07169-4 system. Ideally, heavy labor is required for this type of job thus the paper focuses on using license plate recognition to detect vehicles and its number plate and develop a simple algorithm for parking fee generation. The paper aims to design an automated parking system that captures vehicle image作者: 大漩渦 時間: 2025-3-24 06:16 作者: 態(tài)學 時間: 2025-3-24 10:18 作者: 幾何學家 時間: 2025-3-24 12:37 作者: 使人煩燥 時間: 2025-3-24 15:48 作者: 逃避系列單詞 時間: 2025-3-24 21:31 作者: neurologist 時間: 2025-3-25 02:33
Manjaree Pandit,M. K. Gaur,Sandeep KumarPresents research works in the field of artificial intelligence and sustainable computing.Provides original works presented at ICSISCET 2023 held in Gwalior, India.Serves as a reference for researcher作者: 膠狀 時間: 2025-3-25 05:45
Algorithms for Intelligent Systemshttp://image.papertrans.cn/b/image/162322.jpg作者: 柏樹 時間: 2025-3-25 09:58 作者: 冬眠 時間: 2025-3-25 14:35
978-981-97-0329-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: Moderate 時間: 2025-3-25 19:46 作者: aneurysm 時間: 2025-3-25 22:31 作者: Cervical-Spine 時間: 2025-3-26 00:32 作者: garrulous 時間: 2025-3-26 06:25
Enhancing Underwater Fauna Monitoring: A Comparative Study on YOLOv4 and YOLOv8 for Real-Time Fish neural networks and image recognition, computer vision and deep learning techniques have revolutionized wildlife monitoring. YOLO (You Only Look Once) is recognized as one of the most popular and highly accurate computer vision algorithms, designed specifically for object detection. This paper resp作者: fatty-streak 時間: 2025-3-26 09:04
Machine Learning Approach for Assamese Dialect Identification,enhance technology accessibility for speakers of local dialects while also contributing to the preservation of these unique linguistic variations. To achieve this, automatic dialect identification systems were employed, which analyze voice signals to ascertain the specific dialect being spoken. An a作者: 原諒 時間: 2025-3-26 15:31 作者: curriculum 時間: 2025-3-26 19:25
,Identification, Tracking, and?Pose Estimation of?Non-cooperative Satellites Using Deep Learning Teclite can affect the constellation’s ability to perform the intended operation, requiring identification, trajectory tracking, and pose estimation of the damaged satellite. Standard models of orbital motion have been found to be deficient in analysing the unpredictable orbital motion of these uncoope作者: 者變 時間: 2025-3-26 22:31 作者: corpuscle 時間: 2025-3-27 03:13 作者: 盡管 時間: 2025-3-27 09:10
,Anomaly Detection in?Electroencephalography Readings Using Long Short-Term Memory Tuned by?Modifiedicine, artificial intelligence (AI) has displayed its potential for assisting in diagnosis. Nonetheless, limited attention has been directed toward exploiting AI for neurodiagnostic purposes. This study suggests a strategy that employs Long Short-Term Memory (LSTM) neural networks to classify EEG da作者: 大笑 時間: 2025-3-27 12:43 作者: 白楊魚 時間: 2025-3-27 17:30
,Ear-Based Detection of Driver’s Drowsiness Using Visual Features,to severity and lose their precious lives because of road accidents. Exhaust driving and fatigue are the key reasons behind the road accidents. Detecting the fatigue in the initial stage would possibly reduce these accidents. Researchers are addressing the possible methods for detection of driver’s 作者: 山頂可休息 時間: 2025-3-27 21:16
Sigmoid Function-Based Energy Optimization Strategy for Multihop Routing in WSNs,ycling, and sensing of the signal. Among these factors, duty cycle and transmission distance are the most important factors. Designing of energy optimization strategy for multihop wireless sensor network becomes more challenging due to: (1) routing problem for multihop transmission, (2) residual ene作者: allergy 時間: 2025-3-28 01:26 作者: Ingrained 時間: 2025-3-28 05:07
Evaluating Machine Learning Models for Attack Detection in GPS Datasets,nt, and various other domains. Nevertheless, the reliability of GPS signals is susceptible to being compromised by spoofing attacks, which have the potential to disseminate misleading location data. This study undertakes an evaluation and comparison of the efficacy of three distinct machine learning作者: Truculent 時間: 2025-3-28 08:21 作者: 愛得痛了 時間: 2025-3-28 10:49 作者: Esophagitis 時間: 2025-3-28 15:44
Different Algorithm of Quality of Service for Lifetime Maximization in MANET,eve energy saving, it is necessary to optimize the interlayer design. Cross-layer optimization aims at providing the best solution from different layers to achieve the quality-of-service parameters. Traditional routing protocols were modified to address MANET limitations, and routing protocols such 作者: 熱心 時間: 2025-3-28 19:14 作者: ATOPY 時間: 2025-3-28 23:18
Indian Annual Report Assessment Using Large Language Models,eports. The researcher examined the concepts of zero-shot learning and few-shot learning in the context of categorization, employing sentence transformers as a means of investigation. The results obtained from the fine-tuned language models and subsequent diverse classifiers exhibit promise, as they作者: 外來 時間: 2025-3-29 03:27 作者: 決定性 時間: 2025-3-29 08:30 作者: LIEN 時間: 2025-3-29 12:12
,Deep Learning’s Impact on Speech Synthesis for Mobile Devices,e voice quality, enhance prediction performance, and optimize embedded implementation without compromising voice quality in HMM-based synthesis systems. Deep learning models have also been applied in different stages of conventional SPSS to significantly reduce the memory footprint. These findings s作者: 愛了嗎 時間: 2025-3-29 18:14 作者: 大漩渦 時間: 2025-3-29 22:16
Sigmoid Function-Based Energy Optimization Strategy for Multihop Routing in WSNs,shorter distance node and vice versa. This is achieved by assigning dynamic distance adaptive duty cycle to the nodes of the cluster using sigmoid function (SF). The performance of the proposed sigmoid function-based duty cycle (SFDC) strategy has been compared with the other two existing energy opt作者: 間接 時間: 2025-3-30 03:44 作者: Glutinous 時間: 2025-3-30 07:07 作者: 彎曲的人 時間: 2025-3-30 09:39 作者: decode 時間: 2025-3-30 12:54 作者: 沙發(fā) 時間: 2025-3-30 20:35 作者: SPECT 時間: 2025-3-30 22:14 作者: GUILE 時間: 2025-3-31 03:16 作者: 冷漠 時間: 2025-3-31 06:42
https://doi.org/10.1007/978-3-662-07171-7ditions of underwater environments. For this study, both YOLOv4 and YOLOv8 architectures were trained on a cloud platform. This cloud-based approach circumvents the challenges and logistical complexities of deploying manpower and complex hardware in underwater scenarios, making it a more effective s作者: Osmosis 時間: 2025-3-31 10:15 作者: 生氣地 時間: 2025-3-31 14:24 作者: reception 時間: 2025-3-31 18:24 作者: FOR 時間: 2025-4-1 01:32
https://doi.org/10.1007/978-3-662-07169-4shorter distance node and vice versa. This is achieved by assigning dynamic distance adaptive duty cycle to the nodes of the cluster using sigmoid function (SF). The performance of the proposed sigmoid function-based duty cycle (SFDC) strategy has been compared with the other two existing energy opt