標(biāo)題: Titlebook: Advanced Network Technologies and Intelligent Computing; Third International Anshul Verma,Pradeepika Verma,Isaac Woungang Conference proce [打印本頁(yè)] 作者: squamous-cell 時(shí)間: 2025-3-21 17:24
書目名稱Advanced Network Technologies and Intelligent Computing影響因子(影響力)
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書目名稱Advanced Network Technologies and Intelligent Computing網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Advanced Network Technologies and Intelligent Computing被引頻次
書目名稱Advanced Network Technologies and Intelligent Computing被引頻次學(xué)科排名
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書目名稱Advanced Network Technologies and Intelligent Computing讀者反饋學(xué)科排名
作者: 飾帶 時(shí)間: 2025-3-21 23:30
Advanced Network Technologies and Intelligent Computing978-3-031-64070-4Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: Exhilarate 時(shí)間: 2025-3-22 02:24 作者: conspicuous 時(shí)間: 2025-3-22 04:37 作者: 新星 時(shí)間: 2025-3-22 09:53
überblick über das Gesamtkonzeptage captioning. Image labelling is crucial for a variety of applications, such as analyzing large amounts of unidentified photos or identifying patterns for machine learning tasks like guiding self-driving cars. Other applications include developing tools to assist people with disabilities. Deep lea作者: 確認(rèn) 時(shí)間: 2025-3-22 16:19
Dynamische Sicht der Organisationsgestaltung this issue, this study utilizes EEG data to predict drowsiness. This paper presents a comprehensive approach to EEG-based driver drowsiness prediction, addressing a critical road safety concern. Driver drowsiness has long been associated with road accidents, often resulting in injuries and fataliti作者: 大氣層 時(shí)間: 2025-3-22 20:52
https://doi.org/10.1007/978-3-8349-7103-6 symptoms, underscoring the critical need for early detection and intervention. However, the current diagnostic methodologies suffer from certain limitations like cost, time-intensive, and reliant on expert interpretation, impeding the timely identification of glaucoma in its incipient stages. In re作者: 歡樂(lè)東方 時(shí)間: 2025-3-22 22:57
Strategiebestimmte Organisationsgestaltungcks of the world food chain. Future food security will be dependent on increased output or production with higher yields. Hence a desideratum arises to incorporate approaches to identify factors affecting wheat yield. There has not been much effort done on the identification of factors in earlier st作者: 廚師 時(shí)間: 2025-3-23 03:54 作者: Scintillations 時(shí)間: 2025-3-23 07:28
überblick über das Gesamtkonzeptmportant information or regular updates with friends and family. The set of persons on social media forms a social network. Influence Maximization (IM) is a known problem in social networks. In social networks, information flows from one person to another using an underlying diffusion model. There a作者: dandruff 時(shí)間: 2025-3-23 10:02
,Entscheidungslogische Grundtatbest?nde,ggle with downstream tasks in code-mixed languages. Researchers have tried various methods for Sentiment Analysis (SA) and Offensive Language Identification (OLI) in code-mixed Dravidian languages, but none have combined semantic information from the last three hidden layers of multilingual Transfor作者: 不理會(huì) 時(shí)間: 2025-3-23 17:29
https://doi.org/10.1007/978-3-663-14778-7of precision agriculture, the yield can be significantly increased. In precision agriculture, crop, and weed detection is among the most critical issues. The robotic weeding technique can be used for weed management. So precise and tailored weed treatment is possible in such a system by correctly id作者: 啞劇 時(shí)間: 2025-3-23 22:05
https://doi.org/10.1007/978-3-662-07591-3 especially in social networks. This could be more explicitly observed during the Covid-19 pandemic and the start of Tokyo 2021 Olympics. In order to draw attention to Asian racism, this study explores Natural Language Processing and Machine Learning techniques to identify comments with harmful mess作者: 針葉樹 時(shí)間: 2025-3-23 23:15
https://doi.org/10.1007/978-3-662-07591-3us health benefits, due to which its growth and disease diagnosis becomes an important part. Out of the various techniques widely used one of the techniques for detection and classification of diseases includes Deep Learning models. This paper intends to make use of deep learning techniques such as 作者: 言外之意 時(shí)間: 2025-3-24 04:00 作者: chance 時(shí)間: 2025-3-24 08:59 作者: 改良 時(shí)間: 2025-3-24 11:32
https://doi.org/10.1007/b138878searchers from areas like medicine, psychology, computer science, etc., contributing to the cause. Recognizing human emotions through the electroencephalogram signal is a trending topic nowadays. Neurological studies on multiple physiological datasets like DEAP, SEED, etc., have contributed to devel作者: FACT 時(shí)間: 2025-3-24 18:45 作者: Cpap155 時(shí)間: 2025-3-24 22:49 作者: 明確 時(shí)間: 2025-3-25 02:14
https://doi.org/10.1007/b138878utions more frequently to improve customer experiences, increase ROI, and gain a competitive advantage. Additionally, it predicts that this cutting-edge approach will be widely adopted by the education sector. Therefore, it is accurate to say that ML will significantly influence the future of the ed作者: 潛移默化 時(shí)間: 2025-3-25 03:27
https://doi.org/10.1007/978-3-031-64070-4computer security; cryptology; signal processing; artificial intelligence; software design; data security作者: 花束 時(shí)間: 2025-3-25 08:52
978-3-031-64069-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 都相信我的話 時(shí)間: 2025-3-25 12:02 作者: TIGER 時(shí)間: 2025-3-25 17:03
1865-0929 cal sections on:?..Part I - Advanced Network Technologies...Part II - Advanced Network Technologies; Intelligent Computing...Part III- IV - Intelligent Computing..978-3-031-64069-8978-3-031-64070-4Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: Genistein 時(shí)間: 2025-3-25 23:28
Conference proceedings 2024on Advanced Network Technologies and Intelligent Computing, ANTIC 2023, held in Varanasi, India, during December 20-22, 2023...The 87 full papers and 11 short papers included in this book were carefully reviewed and selected from 487 submissions. The conference papers are organized in topical sectio作者: 四目在模仿 時(shí)間: 2025-3-26 01:19
überblick über das Gesamtkonzeptenerate captions for specific images. An LSTM network serves as an encoder to generate image captions using the image features and language. On the other hand, Convolutional Neural Networks like VGG16 and ResNet50 are used to decode images and retrieve information.作者: alabaster 時(shí)間: 2025-3-26 07:17 作者: 人類的發(fā)源 時(shí)間: 2025-3-26 11:30
Image Captioning Using Deep Learningenerate captions for specific images. An LSTM network serves as an encoder to generate image captions using the image features and language. On the other hand, Convolutional Neural Networks like VGG16 and ResNet50 are used to decode images and retrieve information.作者: 懶惰人民 時(shí)間: 2025-3-26 15:58 作者: 擔(dān)心 時(shí)間: 2025-3-26 20:17
Conference proceedings 202411 short papers included in this book were carefully reviewed and selected from 487 submissions. The conference papers are organized in topical sections on:?..Part I - Advanced Network Technologies...Part II - Advanced Network Technologies; Intelligent Computing...Part III- IV - Intelligent Computing..作者: DRAFT 時(shí)間: 2025-3-26 23:27 作者: 過(guò)份 時(shí)間: 2025-3-27 03:12
https://doi.org/10.1007/978-3-662-07591-3 are Training and Testing accuracy, Precision, recall, and F1 score. The study proves to provide the best results with the highest training accuracy of 98.80% and testing accuracy of 94.74% with the InceptionV3 models compared to ResNet152V2 and VGG19.作者: 偽善 時(shí)間: 2025-3-27 08:10 作者: 收養(yǎng) 時(shí)間: 2025-3-27 12:40
https://doi.org/10.1007/b138878Forest, Na?ve Bayes and Neural Network were implemented. Besides these methods a lexicon-based approach was used to see the overall variation in the results. The lexicon resource for Benali was created for this implementation.作者: Gentry 時(shí)間: 2025-3-27 15:58
Machine Learning Analysis on?Hate Speech Against Asiansyes, LSTM and CNN, the latter presented the better results and was later used for the development of a Twitter bot, able to consult whether or not any given thread had a tendency to racism. Thus, by the end of this study, racism messages classification was proven to be possible, opening possibilities to deepening on this subject.作者: troponins 時(shí)間: 2025-3-27 17:47
Deep Transfer Learning for?Enhanced Blackgram Disease Detection: A Transfer Learning - Driven Approa are Training and Testing accuracy, Precision, recall, and F1 score. The study proves to provide the best results with the highest training accuracy of 98.80% and testing accuracy of 94.74% with the InceptionV3 models compared to ResNet152V2 and VGG19.作者: MEEK 時(shí)間: 2025-3-28 00:11
Sustainable Natural Gas Price Forecasting with DEEPARa Root Mean Squared Error (RMSE) of 0.2021. This model provides valuable insights for stakeholders and serves as a tool to estimate natural gas market prices, assisting in decision-making within the competitive market. The approach used in this study enhances forecasting performance, enabling efficient management of the energy system.作者: Charade 時(shí)間: 2025-3-28 03:16
Analyzing the Performance of BERT for the Sentiment Classification Task in Bengali TextForest, Na?ve Bayes and Neural Network were implemented. Besides these methods a lexicon-based approach was used to see the overall variation in the results. The lexicon resource for Benali was created for this implementation.作者: SEEK 時(shí)間: 2025-3-28 08:46 作者: 織物 時(shí)間: 2025-3-28 14:12 作者: MANIA 時(shí)間: 2025-3-28 16:15 作者: HILAR 時(shí)間: 2025-3-28 22:15 作者: 傲慢人 時(shí)間: 2025-3-29 01:04 作者: 外貌 時(shí)間: 2025-3-29 04:20
Unravelling Crop Yield Secrets Through Identification of Significant Factors Using Machine Learningcks of the world food chain. Future food security will be dependent on increased output or production with higher yields. Hence a desideratum arises to incorporate approaches to identify factors affecting wheat yield. There has not been much effort done on the identification of factors in earlier st作者: MONY 時(shí)間: 2025-3-29 11:09
Comparative Analysis of?Short-Term Load Forecasting Using Machine Learning Techniquesppliers and other players in the markets for electric energy generation, transmission, and distribution, load forecasting is a crucial instrument. Additionally, the prediction of load is essential for effectively planning and overseeing power system operations. Load forecasting has significant effec作者: hemoglobin 時(shí)間: 2025-3-29 12:07 作者: 中古 時(shí)間: 2025-3-29 16:14 作者: tolerance 時(shí)間: 2025-3-29 21:39 作者: novelty 時(shí)間: 2025-3-30 02:58 作者: 闡釋 時(shí)間: 2025-3-30 04:21
Deep Transfer Learning for?Enhanced Blackgram Disease Detection: A Transfer Learning - Driven Approaus health benefits, due to which its growth and disease diagnosis becomes an important part. Out of the various techniques widely used one of the techniques for detection and classification of diseases includes Deep Learning models. This paper intends to make use of deep learning techniques such as 作者: 窒息 時(shí)間: 2025-3-30 11:13
Sustainable Natural Gas Price Forecasting with DEEPARa frequency and nonlinear fluctuation features cause challenges to reliable predictions. A novel natural gas price prediction model, the Optimized DeepAR model, is proposed to address this challenge. This model combines a deep auto-regressive neural network (DeepAR) with grid search optimization (GS作者: 使殘廢 時(shí)間: 2025-3-30 14:23 作者: 異常 時(shí)間: 2025-3-30 17:44
Multi-domain Feature Extraction Methods for Classification of Human Emotions from Electroencephalogrsearchers from areas like medicine, psychology, computer science, etc., contributing to the cause. Recognizing human emotions through the electroencephalogram signal is a trending topic nowadays. Neurological studies on multiple physiological datasets like DEAP, SEED, etc., have contributed to devel作者: Prostaglandins 時(shí)間: 2025-3-30 20:47
Enhancing Speech Quality Using Spectral Subtraction and?Time-Frequency FilteringAD) is most commonly used. SS-VAD works well for moderate background noise conditions but deteriorates for low signal-to-noise-ratio (SNR) signal due to resulting residual noise consisting of musical tones. To address this issue, we introduce a novel approach called SS-time-frequency (SS-TF) filteri作者: BARB 時(shí)間: 2025-3-31 01:40 作者: Bereavement 時(shí)間: 2025-3-31 06:44 作者: 煩人 時(shí)間: 2025-3-31 09:50 作者: 聚集 時(shí)間: 2025-3-31 14:37 作者: BILK 時(shí)間: 2025-3-31 18:08
Dynamische Sicht der Organisationsgestaltungverse machine learning models, aiming to uncover classification method strengths and weaknesses. Ensemble methods like Stacking and Voting achieve an impressive 82.69% test accuracy, with Extra Trees excelling in precision, Logistic Regression in recall, and CatBoost maintaining balanced performance
