標(biāo)題: Titlebook: Computation of Artificial Intelligence and Machine Learning; First International Amit Kumar Bairwa,Varun Tiwari,Thittaporn Ganokrat Confer [打印本頁] 作者: 柳條筐 時(shí)間: 2025-3-21 17:27
書目名稱Computation of Artificial Intelligence and Machine Learning影響因子(影響力)
書目名稱Computation of Artificial Intelligence and Machine Learning影響因子(影響力)學(xué)科排名
書目名稱Computation of Artificial Intelligence and Machine Learning網(wǎng)絡(luò)公開度
書目名稱Computation of Artificial Intelligence and Machine Learning網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Computation of Artificial Intelligence and Machine Learning被引頻次
書目名稱Computation of Artificial Intelligence and Machine Learning被引頻次學(xué)科排名
書目名稱Computation of Artificial Intelligence and Machine Learning年度引用
書目名稱Computation of Artificial Intelligence and Machine Learning年度引用學(xué)科排名
書目名稱Computation of Artificial Intelligence and Machine Learning讀者反饋
書目名稱Computation of Artificial Intelligence and Machine Learning讀者反饋學(xué)科排名
作者: Duodenitis 時(shí)間: 2025-3-21 23:37 作者: 草率男 時(shí)間: 2025-3-22 01:21 作者: 歌曲 時(shí)間: 2025-3-22 08:31 作者: 壕溝 時(shí)間: 2025-3-22 10:43
https://doi.org/10.1007/978-3-642-80065-8ly by lack of sleep but can also due to medications, drinking alcohol, shift work or untreated sleep disorders. To avoid these kinds of activities, a warning sound or an alarm would be produced to alert the drivers while driving which helps them concentrate on the road. To implement this method, mac作者: 感情 時(shí)間: 2025-3-22 15:35
Konrad Fleischer,Hans Heinz Naumann19 pandemic. Amidst strained community health services, there‘s a pressing demand to identify mortality predictors and enhance patient care. This study introduces an innovative approach, utilizing ensemble learning techniques for COVID-19 mortality prognosis based on accessible blood test outcomes. 作者: 感情 時(shí)間: 2025-3-22 18:32 作者: Insatiable 時(shí)間: 2025-3-22 21:20 作者: 惰性氣體 時(shí)間: 2025-3-23 01:58 作者: 散開 時(shí)間: 2025-3-23 05:59 作者: Favorable 時(shí)間: 2025-3-23 13:03
Konrad Fleischer,Hans Heinz Naumann year and more and limit the daily activities of patients. They need continues monitoring. According to WHO most affected people are from low and middle-income countries. People with low educational background and poor life styles are mostly affected with chronic diseases. These diseases are causing作者: single 時(shí)間: 2025-3-23 17:41 作者: 邪惡的你 時(shí)間: 2025-3-23 21:52
Konrad Fleischer,Hans Heinz Naumannagnosis thanks to computer-aided solutions. The current research study demonstrates that computer-assisted diagnostics makes extensive use of deep learning technologies especially using transfer learning approaches. These techniques make extensive use of baseline models like VGG16, Inception, ResNet作者: 蒙太奇 時(shí)間: 2025-3-24 01:54 作者: Infiltrate 時(shí)間: 2025-3-24 02:59
Konrad Fleischer,Hans Heinz Naumannribution companies, as well?as society as a whole. In a comprehensive survey targeting educated individuals, the findings of a societal cost-benefit analysis revealed several positive outcomes. These included energy savings for consumers, decreased market costs due to enhanced transparency, and redu作者: Dignant 時(shí)間: 2025-3-24 09:10
Konrad Fleischer,Hans Heinz Naumannibute to the increase in undistributed energy. In Benin, the most recurring disturbances recorded on the High Voltage category A (HTA) distribution networks of the Beninese Electric Energy Company (SBEE) are fugitive faults, homopolar faults and blackouts. Despite the positioning of the recloser cir作者: DAMP 時(shí)間: 2025-3-24 11:56
https://doi.org/10.1007/978-3-658-42747-4ithin social media platforms. By utilizing cutting-edge techniques, the framework performs exceptionally well in examining current ties as well as predicting future connections, which adds to a more sophisticated comprehension of the complex web of connections seen in social networks. Central to its作者: 沐浴 時(shí)間: 2025-3-24 18:45
Akademisches Controlling an Hochschulenthis state, a series of angles is often measured manually, with the quality of the measurement greatly relying on the experience of the individual taking it. There have been many attempts to predict the weight-bearing line (WBL) ratio using simple knee radiographs. This paper suggests a convolutiona作者: kindred 時(shí)間: 2025-3-24 19:31
Validierung analytischer Verfahren,ts limited resources. For this, we manually tagged a corpus of 50,000 POS-tagged sentences and trained it using a Hidden Markov Model (HMM). Since no prior work had been reported in this area, we couldn‘t compare our results to any other system. This paper documents the efforts made to create an HMM作者: 遭遇 時(shí)間: 2025-3-24 23:38 作者: Libido 時(shí)間: 2025-3-25 07:20
https://doi.org/10.1007/978-3-531-92733-6ad of such toxicity can cause severe damage to people’s mental health. Therefore, the need for an intelligent system capable of detecting and classifying hate speech in real time has become more pressing than ever. This paper aims to devise an effective feature selection algorithm for detecting and 作者: Detonate 時(shí)間: 2025-3-25 08:33 作者: notice 時(shí)間: 2025-3-25 13:07 作者: miscreant 時(shí)間: 2025-3-25 16:48 作者: glowing 時(shí)間: 2025-3-25 23:36
1865-0929 Intelligence and Machine Learning,?ICCAIML 2024, held in Jaipur, India, in January?18–19, 2024.?..The 60 papers included in these volumes were carefully reviewed and selected from 645 submissions. These papers focus on various subject areas within the field of Artificial Intelligence and Machine Le作者: 偏見 時(shí)間: 2025-3-26 03:24
A Machine Learning Approach for Driver Drowsiness Detection in Automotive Safety Systems,hine learning techniques have been used. Detecting Drowsiness can be done with the help of cameras by detecting the driver’s facial expressions and extracting the driver’s eye image. This paper gives you a real-world idea of how the detection system using machine learning could be reasonable and effective.作者: gospel 時(shí)間: 2025-3-26 05:49
Conference proceedings 2025ch as?Neural Networks and Deep Learning, Natural Language Processing, Computer Vision, Reinforcement Learning, Data Mining and Big Data Analytics, AI in Healthcare and Biomedical Applications, Autonomous Systems and Robotics, AI Ethics and Fairness, AI in Finance and Eco-nomics..作者: 注意 時(shí)間: 2025-3-26 11:56
Conference proceedings 2025nce and Machine Learning,?ICCAIML 2024, held in Jaipur, India, in January?18–19, 2024.?..The 60 papers included in these volumes were carefully reviewed and selected from 645 submissions. These papers focus on various subject areas within the field of Artificial Intelligence and Machine Learning, su作者: headlong 時(shí)間: 2025-3-26 16:31
Validierung analytischer Verfahren, a resource for aspiring researchers who wish to explore this area of Hadoti Language Processing. The system was evaluated for accuracy and produced 99.87% accurate results on seen data and 98.78% on unseen data. The system was able to produce an accuracy of 99.33% on the entire test corpus.作者: 狗舍 時(shí)間: 2025-3-26 20:43
Development of HMM Based Parts of Speech Tagger for Hadoti, a resource for aspiring researchers who wish to explore this area of Hadoti Language Processing. The system was evaluated for accuracy and produced 99.87% accurate results on seen data and 98.78% on unseen data. The system was able to produce an accuracy of 99.33% on the entire test corpus.作者: 繁榮地區(qū) 時(shí)間: 2025-3-26 22:46 作者: Enliven 時(shí)間: 2025-3-27 02:24
Konrad Fleischer,Hans Heinz Naumann. In this article we have studied how semantic web technologies can be used in diagnosing these diseases. We have also proposed a novel method using semantic web technologies for efficiently diagnosing the chronic diseases.作者: humectant 時(shí)間: 2025-3-27 07:41 作者: Occupation 時(shí)間: 2025-3-27 09:38 作者: indubitable 時(shí)間: 2025-3-27 14:11 作者: 出價(jià) 時(shí)間: 2025-3-27 20:02 作者: 揮舞 時(shí)間: 2025-3-28 00:03 作者: atrophy 時(shí)間: 2025-3-28 04:23
An Efficient Ontology Based Chronic Disease Diagnosis Model,. In this article we have studied how semantic web technologies can be used in diagnosing these diseases. We have also proposed a novel method using semantic web technologies for efficiently diagnosing the chronic diseases.作者: 細(xì)頸瓶 時(shí)間: 2025-3-28 06:45
,A Comparative Analysis of Transfer Learning Based Models for Early Detection of Parkinson’s Diseasefer learning. This paper also conducts an extensive results analysis of baseline models with or without finetuning. The experimental analysis shows that the VGG16, ReNet, Inception, DenseNet shows very promising results on the publicly available dataset.作者: flourish 時(shí)間: 2025-3-28 12:47 作者: FLAGR 時(shí)間: 2025-3-28 16:12 作者: collagenase 時(shí)間: 2025-3-28 21:47 作者: frenzy 時(shí)間: 2025-3-29 01:48 作者: 表臉 時(shí)間: 2025-3-29 05:25
Computation of Artificial Intelligence and Machine LearningFirst International 作者: 厭惡 時(shí)間: 2025-3-29 10:04 作者: 無法治愈 時(shí)間: 2025-3-29 12:04 作者: 許可 時(shí)間: 2025-3-29 15:58 作者: 開始發(fā)作 時(shí)間: 2025-3-29 21:54 作者: 廚師 時(shí)間: 2025-3-29 23:54
Adoption of Quantum NLP for Improved Healthcare System,utting-edge research projects, this study examines the potential of quantum NLP in patient-centric clinical trial matching. Quantum Embedding’s are expected to be added, strengthening the relationship between patients and trials and allowing for a deeper representation of patient profiles and trial 作者: faucet 時(shí)間: 2025-3-30 07:52
Algorithm Visualizer Using Deep Learning,earning-enhanced visualization is vast, its effectiveness is contingent on rigorous training and robust computational resources. Properly trained, these tools can significantly reduce the learning curve for novices and streamline optimization processes for experts. In essence, the fusion of deep lea作者: 鞠躬 時(shí)間: 2025-3-30 12:18
,Deep Learning Models for?Building and?Shadow Detection in?Aerial Imagery: A Comparative Study, comparative performance of UNET and DeepLabV3+ models for semantic segmentation. The findings contribute to the understanding of the strengths and weaknesses of these models in building and shadow detection and segmentation in aerial imagery.作者: OTHER 時(shí)間: 2025-3-30 14:24
,Smart Meter Security and?Solutions with?IOT in?India,of prioritizing load shifting to off-peak hours. This approach enables the utilization of the proposed smart tariff, which aims to reduce costs, mitigate power blackouts, and prevent grid failures during non-peak hours, ultimately enhancing the overall network reliability..In this paper, a new proce作者: Culpable 時(shí)間: 2025-3-30 18:29
Optimization of Positioning of Reclosers in the High Voltage Category a Distribution Network of Aliectively from 1.21 to 0.091 and the SAIDI from 7.52 to 0.171 and consequently, a reduction in undistributed energy of 97%. on the two departures and a recovery of undistributed energy of 67.12% over the entire Alibori HTA network (11°19′ North Latitude and 2°55′ East Longitude). Thus, consumers will作者: 宏偉 時(shí)間: 2025-3-31 00:42 作者: 使饑餓 時(shí)間: 2025-3-31 00:56 作者: 頭盔 時(shí)間: 2025-3-31 07:44
Combating Toxicity on the Internet: An Efficient HateSwarm Algorithm for Classifying Hate Speech,e on two benchmark datasets. The proposed algorithm achieves a remarkable classification accuracy of 92% and competes favorably with state-of-the-art models. Experimental results demonstrate that our approach is effective in detecting and preventing hate speech on the internet. This paper presents a作者: 泰然自若 時(shí)間: 2025-3-31 09:21 作者: 和諧 時(shí)間: 2025-3-31 16:11 作者: 硬化 時(shí)間: 2025-3-31 20:13 作者: 漂亮 時(shí)間: 2025-3-31 23:23 作者: chisel 時(shí)間: 2025-4-1 02:12
Konrad Fleischer,Hans Heinz Naumannearning-enhanced visualization is vast, its effectiveness is contingent on rigorous training and robust computational resources. Properly trained, these tools can significantly reduce the learning curve for novices and streamline optimization processes for experts. In essence, the fusion of deep lea作者: GLEAN 時(shí)間: 2025-4-1 06:15
Konrad Fleischer,Hans Heinz Naumann comparative performance of UNET and DeepLabV3+ models for semantic segmentation. The findings contribute to the understanding of the strengths and weaknesses of these models in building and shadow detection and segmentation in aerial imagery.作者: Prostaglandins 時(shí)間: 2025-4-1 13:42
Konrad Fleischer,Hans Heinz Naumannof prioritizing load shifting to off-peak hours. This approach enables the utilization of the proposed smart tariff, which aims to reduce costs, mitigate power blackouts, and prevent grid failures during non-peak hours, ultimately enhancing the overall network reliability..In this paper, a new proce作者: PET-scan 時(shí)間: 2025-4-1 18:06 作者: PAN 時(shí)間: 2025-4-1 20:21
