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(yè)] 作者: FETUS 時(shí)間: 2025-3-21 18:46
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: 十字架 時(shí)間: 2025-3-22 00:08 作者: 毀壞 時(shí)間: 2025-3-22 02:33
Intelligent Conversational Chatbots: History, Taxonomy, Classification with PRISMA Model,atural intelligence and make decisions like a human. AI and Human-Computer Interaction (HCI) paradigms are used to design and construct intelligent conversational chatbots. The Chatbot is defined as a computer program that would be intended to emulate dialogue among humans, particularly over the web作者: 基因組 時(shí)間: 2025-3-22 06:40 作者: 的’ 時(shí)間: 2025-3-22 11:34 作者: 高興一回 時(shí)間: 2025-3-22 13:08 作者: 高興一回 時(shí)間: 2025-3-22 19:10
Violence Detection Through Deep Learning Model in Surveillance,reventing and identifying instances of violence. In this rapidly evolving field, deep learning architectures exhibit the capability to discern intricate patterns and make predictions based on vast datasets. Their suitability for violence detection is particularly pronounced, given their capacity to 作者: agonist 時(shí)間: 2025-3-22 23:06 作者: 背叛者 時(shí)間: 2025-3-23 04:23 作者: BRIEF 時(shí)間: 2025-3-23 09:08
Identification of DR (Diabetic Retinopathy) from Messidor-2 Dataset Images Using Various Deep and Mis a leading cause of preventable blindness, & early detection through automated screening is important to ensuring the health of a patient’s eyes. Preventing a significant loss of vision requires prompt medical attention, ideally from an ophthalmologist. Given the recent advancements in machine lea作者: integral 時(shí)間: 2025-3-23 11:26 作者: CONE 時(shí)間: 2025-3-23 15:07 作者: 開花期女 時(shí)間: 2025-3-23 18:58
Enhancing Player Engagement Through Gesture-Based Interactions in Tic-Tac-Toe,ven version of the classic mouse-click Tic-Tac-Toe game that uses computer vision for immersive gameplay. Enables natural interactions with robust real-time hand tracking and gesture classification. The placement of markers in a game is matched to gestures like pinching and swiping. The system combi作者: cardiopulmonary 時(shí)間: 2025-3-24 02:16
,Aggressive Bangla Text Detection Using Machine Learning and?Deep Learning Algorithms, these platforms, people share their interests, thoughts, and rights, sometimes receiving appreciation for their views and, at times, encountering conflicts of interest leading to mean comments, including hate speech and aggression towards individuals, societies, or groups. Detecting such comments h作者: Substance 時(shí)間: 2025-3-24 03:04
A Comparative Evaluation of Machine Learning Techniques for Detecting Malicious Network Traffic,ingly rely on interconnected systems. Detecting these security incidents rapidly and accurately is critical, but also poses challenges due to the constantly evolving techniques used by hackers. Machine learning has surfaced as a promising avenue for developing intelligent systems capable of analyzin作者: notice 時(shí)間: 2025-3-24 09:29
Enhancing Cyclone Intensity Prediction Through Deep Learning Analysis of Imagery Datasets,igating their impact. In recent years, deep learning has emerged as a promising technique for image analysis. This paper introduces a deep learning-based method for estimating cyclone strength using image datasets. By leveraging convolutional neural networks (CNNs), the proposed approach extracts es作者: 中子 時(shí)間: 2025-3-24 13:52
Revolutionizing Road Safety: Machine Learning Approaches for Predicting Road Accident Severity,the economy. Road accident prediction has primarily been researched as a classification problem in the literature, meaning that the goal is to forecast whether or not a traffic mishap will occur in future deprived of delving into the intricate interactions between the many components that contribute作者: CANT 時(shí)間: 2025-3-24 18:55
,Survey and Analysis of Machine Learning Methods for Parkinson’s Disease Diagnosis,on of substantia nigra of the central nervous system (CNS), that has an impact on the body. Individuals with Parkinson‘s disease experience difficulty speaking, writing, and walking. To distinguish between individuals with Parkinson‘s disease and those in good health, various machine learning-based 作者: FOR 時(shí)間: 2025-3-24 21:02
Accelerated GPU-Based Clustering, Classification and Regression Using RAPIDS: A Comparative Study, other hand, are ideally suitable for Machine learning challenges due to their tremendous performance. NVIDIA has released the RAPIDS framework, which includes the cuML library, to take benefit from GPU performance for machine learning. A GPU-based framework such as RAPIDS provides fast results on l作者: 牢騷 時(shí)間: 2025-3-24 23:58
1865-0929 ytics, AI in Healthcare and Biomedical Applications, Autonomous Systems and Robotics, AI Ethics and Fairness, AI in Finance and Eco-nomics..978-3-031-71480-1978-3-031-71481-8Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: 冒號(hào) 時(shí)間: 2025-3-25 03:36
Das Projekt, den Kunden mit der , gewinnen, like Facebook, YouTube, and Twitter. Employing diverse machine learning and deep learning algorithms, such as SVM, Random Forest, KNN, Linear Regression, Decision Tree, and CNN, the authors achieved the highest accuracy of 90.46% with Multinomial Naive Bayes (MNB).作者: Left-Atrium 時(shí)間: 2025-3-25 09:03
,Aggressive Bangla Text Detection Using Machine Learning and?Deep Learning Algorithms, like Facebook, YouTube, and Twitter. Employing diverse machine learning and deep learning algorithms, such as SVM, Random Forest, KNN, Linear Regression, Decision Tree, and CNN, the authors achieved the highest accuracy of 90.46% with Multinomial Naive Bayes (MNB).作者: –FER 時(shí)間: 2025-3-25 12:20
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: GRILL 時(shí)間: 2025-3-25 18:36
https://doi.org/10.1007/978-3-658-26522-9s study provides a thorough analysis of Blockchain technology used for medical records with an emphasis on security issues. The survey investigates various strategies and methods used to safeguard medical records in a blockchain setting.作者: LUDE 時(shí)間: 2025-3-25 22:34
https://doi.org/10.1007/978-3-658-26522-9g real-time identification and authentication of vehicles. This technology eliminates the need for manual interventions, streamlining the access control process and minimizing potential security breaches.作者: sleep-spindles 時(shí)間: 2025-3-26 02:39
https://doi.org/10.1007/978-3-642-57960-8ot evolution, techniques, and classification. The objective of the article is to describe the current intelligent conversational chatbot approaches that were in use and represent their comparison based on techniques, drawbacks, and applications. Chatbots have the potential to enhance human-machine interaction.作者: 多節(jié) 時(shí)間: 2025-3-26 05:52 作者: PSA-velocity 時(shí)間: 2025-3-26 11:42
Intelligent Conversational Chatbots: History, Taxonomy, Classification with PRISMA Model,ot evolution, techniques, and classification. The objective of the article is to describe the current intelligent conversational chatbot approaches that were in use and represent their comparison based on techniques, drawbacks, and applications. Chatbots have the potential to enhance human-machine interaction.作者: 隱藏 時(shí)間: 2025-3-26 15:10 作者: 證實(shí) 時(shí)間: 2025-3-26 17:23
Access-Based Authentication of Healthcare Record in Blockchain: A Survey from Security Perspectivess study provides a thorough analysis of Blockchain technology used for medical records with an emphasis on security issues. The survey investigates various strategies and methods used to safeguard medical records in a blockchain setting.作者: 胰臟 時(shí)間: 2025-3-27 00:45
,Smart Entry Management Using IoT and?Number Plate Recognition for?Organizational Security,g real-time identification and authentication of vehicles. This technology eliminates the need for manual interventions, streamlining the access control process and minimizing potential security breaches.作者: 法官 時(shí)間: 2025-3-27 03:11 作者: 沉思的魚 時(shí)間: 2025-3-27 06:35
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: Resign 時(shí)間: 2025-3-27 09:27 作者: 小步走路 時(shí)間: 2025-3-27 14:00 作者: Cleave 時(shí)間: 2025-3-27 19:35
https://doi.org/10.1007/978-3-642-57960-8atural intelligence and make decisions like a human. AI and Human-Computer Interaction (HCI) paradigms are used to design and construct intelligent conversational chatbots. The Chatbot is defined as a computer program that would be intended to emulate dialogue among humans, particularly over the web作者: 易受騙 時(shí)間: 2025-3-28 01:56
Die Dynamik der Entzündung: Immunologieme weather events such as floods and landslides. In this study, we investigated the use of two data-driven methods, dynamic mode decomposition (DMD) and long-short-term memory (LSTM), for rainfall forecasting using daily rainfall data collected from the India Meteorological Department in northeast r作者: 縫紉 時(shí)間: 2025-3-28 05:49 作者: Afflict 時(shí)間: 2025-3-28 08:45
https://doi.org/10.1007/978-3-658-40947-0ng bibliometric analysis and network visualization. In this work, research literature obtained from the Scopus and Web of Science databases between 2003 and 2023 is subjected to bibliometric analysis methods. Indicators like changes in research production and citations, top contributing authors, cou作者: strdulate 時(shí)間: 2025-3-28 13:19 作者: Inscrutable 時(shí)間: 2025-3-28 16:08 作者: Constitution 時(shí)間: 2025-3-28 22:44
https://doi.org/10.1007/978-3-658-26522-9ce and copy-move manipulations using deep learning model, Enhanced DenseNet201 and VGG19, on the widely used CASIA 2.0 and CASIA 1.0 dataset. The proposed methodology focuses on enhancing the accuracy of forge image classification through the utilization of advanced convolutional neural networks (CN作者: 袋鼠 時(shí)間: 2025-3-29 02:33
https://doi.org/10.1007/978-3-658-26522-9is a leading cause of preventable blindness, & early detection through automated screening is important to ensuring the health of a patient’s eyes. Preventing a significant loss of vision requires prompt medical attention, ideally from an ophthalmologist. Given the recent advancements in machine lea作者: cunning 時(shí)間: 2025-3-29 04:47 作者: 旋轉(zhuǎn)一周 時(shí)間: 2025-3-29 07:30 作者: STIT 時(shí)間: 2025-3-29 11:44
Das Projekt, den Kunden mit der , gewinnen,ven version of the classic mouse-click Tic-Tac-Toe game that uses computer vision for immersive gameplay. Enables natural interactions with robust real-time hand tracking and gesture classification. The placement of markers in a game is matched to gestures like pinching and swiping. The system combi作者: condone 時(shí)間: 2025-3-29 18:28
Das Projekt, den Kunden mit der , gewinnen, these platforms, people share their interests, thoughts, and rights, sometimes receiving appreciation for their views and, at times, encountering conflicts of interest leading to mean comments, including hate speech and aggression towards individuals, societies, or groups. Detecting such comments h作者: 旅行路線 時(shí)間: 2025-3-29 20:38 作者: uveitis 時(shí)間: 2025-3-30 01:10
Susanne Schaffert,Klaus von Werder FRCPigating their impact. In recent years, deep learning has emerged as a promising technique for image analysis. This paper introduces a deep learning-based method for estimating cyclone strength using image datasets. By leveraging convolutional neural networks (CNNs), the proposed approach extracts es作者: 中子 時(shí)間: 2025-3-30 04:53 作者: HATCH 時(shí)間: 2025-3-30 10:37
https://doi.org/10.1007/978-3-531-90321-7on of substantia nigra of the central nervous system (CNS), that has an impact on the body. Individuals with Parkinson‘s disease experience difficulty speaking, writing, and walking. To distinguish between individuals with Parkinson‘s disease and those in good health, various machine learning-based 作者: climax 時(shí)間: 2025-3-30 13:03
https://doi.org/10.1007/978-3-531-90321-7 other hand, are ideally suitable for Machine learning challenges due to their tremendous performance. NVIDIA has released the RAPIDS framework, which includes the cuML library, to take benefit from GPU performance for machine learning. A GPU-based framework such as RAPIDS provides fast results on l作者: instate 時(shí)間: 2025-3-30 18:20 作者: Outspoken 時(shí)間: 2025-3-30 23:35 作者: 有其法作用 時(shí)間: 2025-3-31 02:58
978-3-031-71480-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: DIKE 時(shí)間: 2025-3-31 06:19 作者: averse 時(shí)間: 2025-3-31 09:11
https://doi.org/10.1007/978-3-642-85514-6ia and other types of cancer and is already making a significant impact in the field of oncology. ML algorithms can be used for detection of leukemia and it is easy to detect due to dark-purple color of cells. But detecting leukemia without ML techniques is time‐consuming and challenging. Utilizatio作者: 物質(zhì) 時(shí)間: 2025-3-31 16:02
Entzündliche Effloreszenzen und ihre Folgeny outlines the benefits and drawbacks of various design strategies, offering information on their applicability and effects on chatbot functionality. Researchers and practitioners can make wise choices to create intelligent conversational chatbots that provide better user experiences by knowing thes作者: Ablation 時(shí)間: 2025-3-31 20:59 作者: flourish 時(shí)間: 2025-3-31 22:55
https://doi.org/10.1007/978-3-658-40947-0from UCI’s Machine Learning Repository has been employed. To extract relevant features, multiple vectorization techniques have been applied, including Bag of Words, TF-IDF, TF-IDF (Bigrams), and TF-IDF (Trigrams). To execute the necessary categorization, a range of machine learning classification al作者: 充足 時(shí)間: 2025-4-1 05:24 作者: Hamper 時(shí)間: 2025-4-1 08:46
https://doi.org/10.1007/978-3-658-40947-0ks (CNNs) for spatial feature extraction and Long Short-Term Memory (LSTM) networks for temporal aggregation facilitates a nuanced analysis of local motion patterns. Rigorous evaluations conducted on publicly available datasets attest to the models’ efficacy in violence detection. The amalgamated so作者: LEVER 時(shí)間: 2025-4-1 11:43
https://doi.org/10.1007/978-3-658-40947-0nsible integration of ChatGPT in various sectors necessitates a balance between AI capabilities and human expertise. As technology evolves, the transformative potential of ChatGPT continues to shape these industries and contribute to responsible innovation.
