標(biāo)題: Titlebook: Machine Intelligence and Soft Computing; Proceedings of ICMIS Debnath Bhattacharyya,Sanjoy Kumar Saha,Philippe F Conference proceedings 202 [打印本頁] 作者: enamel 時(shí)間: 2025-3-21 19:28
書目名稱Machine Intelligence and Soft Computing影響因子(影響力)
書目名稱Machine Intelligence and Soft Computing影響因子(影響力)學(xué)科排名
書目名稱Machine Intelligence and Soft Computing網(wǎng)絡(luò)公開度
書目名稱Machine Intelligence and Soft Computing網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Machine Intelligence and Soft Computing被引頻次
書目名稱Machine Intelligence and Soft Computing被引頻次學(xué)科排名
書目名稱Machine Intelligence and Soft Computing年度引用
書目名稱Machine Intelligence and Soft Computing年度引用學(xué)科排名
書目名稱Machine Intelligence and Soft Computing讀者反饋
書目名稱Machine Intelligence and Soft Computing讀者反饋學(xué)科排名
作者: 收到 時(shí)間: 2025-3-21 22:26
Advances in Intelligent Systems and Computinghttp://image.papertrans.cn/m/image/620364.jpg作者: 態(tài)度暖昧 時(shí)間: 2025-3-22 02:15 作者: 高度 時(shí)間: 2025-3-22 05:31 作者: Ballad 時(shí)間: 2025-3-22 09:12
Machine Intelligence and Soft Computing978-981-16-8364-0Series ISSN 2194-5357 Series E-ISSN 2194-5365 作者: 冒失 時(shí)間: 2025-3-22 13:27 作者: 慢跑 時(shí)間: 2025-3-22 19:17
Hybrid Fruit Fly Optimization for EHR Applications in Cloud Environments for Load Balancing Optimizn environment. The outcome of the current proposal provides a better path of action. The preliminary results demonstrate that the suggested estimation outperforms the present weight-changing calculations profitably.作者: HUMP 時(shí)間: 2025-3-23 00:31
Face Expression Recognition in Video Using Hybrid Feature Extractor and CNN-LSTM,(PCA). Finally, the fused features are fed to train CNN-LSTM, a hybrid deep learning classifier for identifying face expressions. Experiment was conducted on SAVEE, RAVDESS and AFEW Datasets. The proposed method obtained an overall accuracy, precision, and recall of 90.5%, 92.39%, 88.18%, respectively.作者: 地名表 時(shí)間: 2025-3-23 04:01
Detecting False Data Attacks Using KPG-MT Technique,ork can make a preventive move and alert the administrator to make a safeguard move to restrict the danger. Mathematical outcomes acquired from recreations substantiate our hypothetical investigation.作者: HAWK 時(shí)間: 2025-3-23 09:14
2194-5357 tur, India.Serves as a reference for researchers and practit.This book gathers selected papers presented at the International Conference on Machine Intelligence and Soft Computing (ICMISC 2021), organized by Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India during 22 – 24 Septemb作者: Facet-Joints 時(shí)間: 2025-3-23 11:03
Prediction of Wall Street Through AI Approach,ar Regression, LSTM (which is said to be the particular type of RNN), SVM Regressor?is performed including analysis. Then, a Comparative report between these techniques has been done regarding its prediction accuracy and performance. After analyzing all the models separately, the?LSTM?is the most precise for the stock?value?forecast.作者: 無關(guān)緊要 時(shí)間: 2025-3-23 14:05 作者: 溫和女人 時(shí)間: 2025-3-23 18:22 作者: 伸展 時(shí)間: 2025-3-23 22:50 作者: 英寸 時(shí)間: 2025-3-24 02:40 作者: 施魔法 時(shí)間: 2025-3-24 06:50 作者: 赤字 時(shí)間: 2025-3-24 14:35
Analyzing Comments on Social Media with XG Boost Mechanism,s in vectors. Bag of Words uses machine learning algorithms like Random Forest and Naive Bayes. Finally, the XG Boost model is used with advanced parameters to determine the most effective ranking model for sentiment analysis.作者: 粗野 時(shí)間: 2025-3-24 15:05 作者: affect 時(shí)間: 2025-3-24 22:37
Utilization of Machine Learning Techniques in Pharma, of scientists. Recently, the application of machine learning in medicine and pharma is growing in recent times in rapid fast. In the current paper, the authors represent the seven applications or areas in medicine and pharma where the applications of machine learning were implemented, and good results are obtained.作者: 灌輸 時(shí)間: 2025-3-25 01:46 作者: FRONT 時(shí)間: 2025-3-25 05:16
P. S. V. S. Sridhar,Sai Sameera Voleti,Venkata Naresh Mandhala,Debnath Bhattacharyya作者: 衣服 時(shí)間: 2025-3-25 08:34 作者: conduct 時(shí)間: 2025-3-25 14:28 作者: Irremediable 時(shí)間: 2025-3-25 16:15 作者: Estrogen 時(shí)間: 2025-3-25 20:48 作者: incision 時(shí)間: 2025-3-26 03:17
Sk. Meeravali,Debnath Bhattacharyya,N. Thirupathi Rao,Tai-Hoon Kim作者: adipose-tissue 時(shí)間: 2025-3-26 07:17 作者: obviate 時(shí)間: 2025-3-26 10:07
Eali Stephen Neal Joshua,Debnath Bhattacharyya,Tai-Hoon Kim作者: alcoholism 時(shí)間: 2025-3-26 14:07
its auch so vorgehen, da? man von vornherein die Materie als durch ausgedehnte K?rper gegeben ansieht, die sich gegenseitig berühren und bei der Bewegung aufeinander gleiten oder rollen, und dann auf Grund allgemein angenommener Prinzipien die Gleichungen für ihre Bewegung ableiten. Das ist m?glich 作者: Ergots 時(shí)間: 2025-3-26 17:56
S. Naga Mallik Raj,Eali. Stephen Neal Joshua,K. Swathi,S. Neeraja,Debnath Bhattacharyyaim Anschlu? an den F?rbeproze? h?ufig chemisch ver- ?l1dert. Das Kapitel über Farbenchemie ist demnach ganz auf die Belange der Textilchemie bzw. Textilveredlung abgestellt und unterscheidet sich dadurch grundlegend von der Darstellung in einschl?gigen Spezialwerken über Farben- chemie. In Erg?nzung der Texti978-3-662-00064-9作者: finite 時(shí)間: 2025-3-26 23:42
Jingyi Wu,Hongxiang Jia,Qiqi Hu,Jiakang Sun,Kunpeng Song,Yao Xu,Zhihan Lv? an den F?rbeproze? h?ufig chemisch ver- ?l1dert. Das Kapitel über Farbenchemie ist demnach ganz auf die Belange der Textilchemie bzw. Textilveredlung abgestellt und unterscheidet sich dadurch grundlegend von der Darstellung in einschl?gigen Spezialwerken über Farben- chemie. In Erg?nzung der Texti作者: 撫育 時(shí)間: 2025-3-27 01:07
Mohan Mahanty,Debnath Bhattacharyya,Divya Midhunchakkaravarthyim Anschlu? an den F?rbeproze? h?ufig chemisch ver- ?l1dert. Das Kapitel über Farbenchemie ist demnach ganz auf die Belange der Textilchemie bzw. Textilveredlung abgestellt und unterscheidet sich dadurch grundlegend von der Darstellung in einschl?gigen Spezialwerken über Farben- chemie. In Erg?nzung der Texti978-3-662-00064-9作者: 骯臟 時(shí)間: 2025-3-27 07:01
T. Archana Acharyaim Anschlu? an den F?rbeproze? h?ufig chemisch ver- ?l1dert. Das Kapitel über Farbenchemie ist demnach ganz auf die Belange der Textilchemie bzw. Textilveredlung abgestellt und unterscheidet sich dadurch grundlegend von der Darstellung in einschl?gigen Spezialwerken über Farben- chemie. In Erg?nzung der Texti978-3-662-00064-9作者: caldron 時(shí)間: 2025-3-27 13:17
T. Archana Acharya,P. Veda Upasan? an den F?rbeproze? h?ufig chemisch ver- ?l1dert. Das Kapitel über Farbenchemie ist demnach ganz auf die Belange der Textilchemie bzw. Textilveredlung abgestellt und unterscheidet sich dadurch grundlegend von der Darstellung in einschl?gigen Spezialwerken über Farben- chemie. In Erg?nzung der Texti作者: 繼承人 時(shí)間: 2025-3-27 13:59 作者: 遭受 時(shí)間: 2025-3-27 20:44
Bhanu Prakash Doppala,Debnath Bhattacharyya,N. Thirupathi Rao,Hye-jin Kimim Anschlu? an den F?rbeproze? h?ufig chemisch ver- ?l1dert. Das Kapitel über Farbenchemie ist demnach ganz auf die Belange der Textilchemie bzw. Textilveredlung abgestellt und unterscheidet sich dadurch grundlegend von der Darstellung in einschl?gigen Spezialwerken über Farben- chemie. In Erg?nzung der Texti978-3-662-00064-9作者: 使混合 時(shí)間: 2025-3-27 21:57 作者: 領(lǐng)先 時(shí)間: 2025-3-28 04:28
B. Dinesh Reddy,Debnath Bhattacharyya,Hye-jin Kimim Anschlu? an den F?rbeproze? h?ufig chemisch ver- ?l1dert. Das Kapitel über Farbenchemie ist demnach ganz auf die Belange der Textilchemie bzw. Textilveredlung abgestellt und unterscheidet sich dadurch grundlegend von der Darstellung in einschl?gigen Spezialwerken über Farben- chemie. In Erg?nzung der Texti978-3-662-00064-9作者: 大門在匯總 時(shí)間: 2025-3-28 06:19 作者: 宣誓書 時(shí)間: 2025-3-28 11:51 作者: 搜尋 時(shí)間: 2025-3-28 14:55 作者: 獸皮 時(shí)間: 2025-3-28 22:44
,A Study on Human–Machine Interaction in Banking Services During COVID-19, services involving human–machine interactions to the level of customer satisfaction. SPSS Software is used to analyze the data. The results of the study highlight positivity thus concluding that the twenty-first century is demanding a hundred percent of transactions based on human–machine interacti作者: Incise 時(shí)間: 2025-3-28 22:54
Detection of Fake Profiles in Instagram Using Supervised Machine Learning,in 2019, cybercrime in India increased by 457 percent between 2011 and 2016. Most people are aware of the effect that social media sites such as Facebook, Instagram, and Twitter have on their lives. This is a result of our everyday activities. It is the purpose of false characters, as well as ways o作者: 小卒 時(shí)間: 2025-3-29 03:39
Review on Space and Security Issues in Cloud Computing, more critical. Hence, we need to provide more security to the data being stored in the huge number of the server. As we need to provide security to these servers, several factors are important to note. The detailed description of these points was presented in the current article.作者: 修正案 時(shí)間: 2025-3-29 08:02 作者: averse 時(shí)間: 2025-3-29 15:02
New Event Detection for Web Recommendation Using Web Mining,t in which various keywords are mingled and then applied to the event’s uncertainties and dangers, in order to achieve this. A pyramid-like structure is commonly used on the internet to organize uncertainty hierarchies, and these levels are denoted by a pyramid-like structure used to denote the leve作者: 笨拙的我 時(shí)間: 2025-3-29 19:31 作者: 馬具 時(shí)間: 2025-3-29 22:49
,Distributed Machine Learning—An Intuitive Approach,nces in machine learning techniques by exploiting hardware acceleration. In order to improve the quality of predictions and utilize machine learning solutions feasible for more complex applications, a tangible amount of training data is necessary. Although relatively tiny machine learning models can作者: pus840 時(shí)間: 2025-3-30 00:45 作者: 小卒 時(shí)間: 2025-3-30 07:56 作者: Obvious 時(shí)間: 2025-3-30 11:18
Analyzing Comments on Social Media with XG Boost Mechanism,, and various character traits such as emoticons, quotes, hashtags, mentions, etc. The Word2Vec model is used to improve performance and activate words in vectors. Bag of Words uses machine learning algorithms like Random Forest and Naive Bayes. Finally, the XG Boost model is used with advanced para作者: FLAX 時(shí)間: 2025-3-30 15:35
Distributed Edge Learning in Emerging Virtual Reality Systems,employing artificial intelligence and edge computing technologies. Then, this model is simulated and analyzed. Analysis of instantaneity reveals the higher maximum downlink power, the smaller the system delay. Comparative analysis of offloading performance suggests that the system converges more sta作者: Palatial 時(shí)間: 2025-3-30 19:36
A Review on Deep Learning-Based Object Recognition Algorithms,developing various object recognition applications like biometric regulation, image retrieval, security, machine inspection, medical imaging, and digital watermarking. It also plays a substantial role in the invention of autonomous automobiles, to have safe driving by detecting objects and road sign作者: Abutment 時(shí)間: 2025-3-30 21:02
,A Study on Human–Machine Interaction in Banking Services During COVID-19,ommon devices or doing from home. The safer the transaction, the more customer satisfaction. On one hand, banks have become the lifeblood of every human today because any transaction payment from grocery to gold/house demands interaction of human–machine rather than manual payments. On the other han作者: AV-node 時(shí)間: 2025-3-31 04:53 作者: Legend 時(shí)間: 2025-3-31 05:29
Face Expression Recognition in Video Using Hybrid Feature Extractor and CNN-LSTM,video sequences to automatically identify human expression categories. In this paper, we propose a Hybrid feature extractor, analyze various deep learning classifiers and their performance. Addressing illumination invariance and scale invariance, this method initially pre-processes the input video t作者: anagen 時(shí)間: 2025-3-31 10:47 作者: Kidnap 時(shí)間: 2025-3-31 14:54 作者: EVADE 時(shí)間: 2025-3-31 18:05 作者: BRIEF 時(shí)間: 2025-3-31 22:58
Anomaly Detection in Solar Radiation Forecasting Using LSTM Autoencoder Architecture,ar radiation recently. In this project, we are predicting the solar radiation on a particular day of the year using Long Short-Term Memory autoencoder (LSTM autoencoder) architecture. Using LSTM autoencoder, we can detect the anomalies in the data. This amount of data collected makes the quest for d作者: 暗諷 時(shí)間: 2025-4-1 03:55
Medical Image Denoising Using Non-Local Means Filtering,sis has acquired tremendous popularity in the last two decades. Mostly in medical field including biomedical science, the effect of such advances is becoming apparent, allowing the detection and diagnosis in a much more vivid way. The significant hurdle in the diagnostic imaging study is to select a作者: 熒光 時(shí)間: 2025-4-1 08:48
