標(biāo)題: Titlebook: Proceedings of World Conference on Artificial Intelligence: Advances and Applications; WCAIAA 2024 Ashish Kumar Tripathi,Darpan Anand,Atuly [打印本頁(yè)] 作者: aspirant 時(shí)間: 2025-3-21 19:51
書(shū)目名稱Proceedings of World Conference on Artificial Intelligence: Advances and Applications影響因子(影響力)
書(shū)目名稱Proceedings of World Conference on Artificial Intelligence: Advances and Applications影響因子(影響力)學(xué)科排名
書(shū)目名稱Proceedings of World Conference on Artificial Intelligence: Advances and Applications網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Proceedings of World Conference on Artificial Intelligence: Advances and Applications網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Proceedings of World Conference on Artificial Intelligence: Advances and Applications被引頻次
書(shū)目名稱Proceedings of World Conference on Artificial Intelligence: Advances and Applications被引頻次學(xué)科排名
書(shū)目名稱Proceedings of World Conference on Artificial Intelligence: Advances and Applications年度引用
書(shū)目名稱Proceedings of World Conference on Artificial Intelligence: Advances and Applications年度引用學(xué)科排名
書(shū)目名稱Proceedings of World Conference on Artificial Intelligence: Advances and Applications讀者反饋
書(shū)目名稱Proceedings of World Conference on Artificial Intelligence: Advances and Applications讀者反饋學(xué)科排名
作者: Thrombolysis 時(shí)間: 2025-3-21 21:56
Financial Time Series Forecasting Using Hybrid Evolutionary Extreme Learning Machine,SE) and root mean squared error (RMSE). The experimental analysis proves the proposed model, FISA?+?ELM, produces lower MSE and RMSE values than the alternate model, CRO?+?ELM. Overall, we observe that FISA?+?ELM outperforms CRO?+?ELM.作者: Nerve-Block 時(shí)間: 2025-3-22 02:56
Designing an Intelligent Chatbot with Deep Learning: Leveraging FNN Algorithm for Conversational Agents to Improve the Chatbot Performance,lves epochs and batch size tuning, with model performance monitored through the TensorBoard and enhanced using callbacks, including ModelCheckpoint and EarlyStopping. The final model is saved and loaded for efficient utilization. The research extends to developing a user-friendly interface using Tkinter for seamless interaction with the chatbot.作者: 追逐 時(shí)間: 2025-3-22 05:56 作者: 以煙熏消毒 時(shí)間: 2025-3-22 09:40 作者: 培養(yǎng) 時(shí)間: 2025-3-22 16:12
A Novel Approach for Energy-Efficient Clustering Using NWOT-TCHE for Trust-Based Cluster Head Election in Wireless Sensor Networks,ata packets accelerated by SN, average cluster distance, communication delay, and SN density. The result shows that this proposed approach is superior to the existing energy-efficient clustering approaches.作者: 濕潤(rùn) 時(shí)間: 2025-3-22 17:11
Unsupervised Video Summarization Using Deep Learning Approach with Deep Feature Semantics,ken directly from the original movie, and an unsupervised .-means clustering-based algorithm is applied to summarize the video. Our video summaries are evaluated against reference approaches and state-of-the-art models on two standard datasets.作者: Diluge 時(shí)間: 2025-3-22 23:03 作者: 全部 時(shí)間: 2025-3-23 04:48 作者: 元音 時(shí)間: 2025-3-23 09:24
A Novel Meta-analysis and Classification of Herbal Medicinal Plant Raw Materials for Food Consumption Prediction Using Hybrid Deep Learning Techniques Based on Augmented Reality in Computer Vision,nd in medicinal herbal plants have a significant role in food preparation. Because of their appearance, vital medicinal plants must be evaluated and examined before being consumed. Herbs may help prevent and control cardiac conditions, tumors, and mellitus. It may also help prevent blood clots and h作者: 鑲嵌細(xì)工 時(shí)間: 2025-3-23 13:36
,SoWhat: Real-Time Crop and?Fertilizer Predictor,es. The proposed work introduces the ‘SoWhat’ mobile application based on an automatic crop and fertilizer predictor that provides accurate real-time crop and fertilizer prediction. It is user-friendly and built using the Flutter interface and a Python script based on the decision forest-based algor作者: defuse 時(shí)間: 2025-3-23 16:00 作者: 陰謀 時(shí)間: 2025-3-23 19:09
Unveiling the Influential Dynamics: Personal Innovation and Word-of-Mouth in Shaping Online Pharmacy Adoption,ith pharmacists. While online pharmacies have gained traction in the Western world, there are barriers to widespread adoption in the developing world due to limited information on factors influencing their popularity and use. To address this gap, this study integrates the Unified Theory of Acceptanc作者: BRACE 時(shí)間: 2025-3-24 01:36 作者: 神圣在玷污 時(shí)間: 2025-3-24 05:30 作者: 現(xiàn)任者 時(shí)間: 2025-3-24 06:36
Financial Time Series Forecasting Using Hybrid Evolutionary Extreme Learning Machine,search algorithm (FISA) and create a new hybrid model termed FISA?+?ELM. We then apply the FISA?+?ELM model to forecast the close prices of two major currency exchange rates. For comparison purposes, we also developed another model known as CRO?+?ELM, where chemical reaction optimization (CRO) is em作者: 無(wú)畏 時(shí)間: 2025-3-24 12:34 作者: Cocker 時(shí)間: 2025-3-24 14:57
,Exploring the Efficiency of Vedic Mathematics on FPGA and ASIC: A?Performance Analysis,ng (DSP) architectures. Invariably, hardware designed for such systems incorporates multipliers. This paper is centered on employing Vedic Mathematics Algorithms specifically for multiplication, aiming for power-efficient and compact designs. This research primarily delves into its application withi作者: nepotism 時(shí)間: 2025-3-24 21:49
A Novel Approach for Energy-Efficient Clustering Using NWOT-TCHE for Trust-Based Cluster Head Election in Wireless Sensor Networks,or Node’s (SN) energy expenditure. Clustering is a well-known technique for conserving the energy of WSNs. It also prolongs the network lifetime of each SN in WSN. If the environment is untrustworthy, nodes in the network obviously lose their energy and spend their lifetime. A Trust-based Cluster He作者: Heart-Attack 時(shí)間: 2025-3-24 23:43
Designing an Intelligent Chatbot with Deep Learning: Leveraging FNN Algorithm for Conversational Agents to Improve the Chatbot Performance,employing a feedforward neural network, specifically a multi-layer perceptron, to create an intelligent conversational agent. Natural language processing techniques, such as lemmatization through SpaCy, are employed for efficient text processing. The dataset, extracted from a JSON file containing in作者: 粗魯?shù)娜?nbsp; 時(shí)間: 2025-3-25 06:59
An Efficient Autoencoder-Decoder Model for Image Denoising Using Deep Convolutional Networks,ediction, etc. The primary objective is to deal with such unwanted distortions to clean the signals and images and thus form the prerequisite of any image and signal processing applications. In recent years, deep convolutional networks with proper configuration and hyper-parameter tuning have proved作者: resilience 時(shí)間: 2025-3-25 09:44
Unsupervised Video Summarization Using Deep Learning Approach with Deep Feature Semantics,e movie scene. As the content of videos varies widely, making video summarizing considerably more difficult as prior knowledge is nearly inaccessible, the goal here is to provide a video summarization that is engaging to the user and accurately represents the context of content using an unsupervised作者: Anal-Canal 時(shí)間: 2025-3-25 13:55 作者: annexation 時(shí)間: 2025-3-25 19:10
Cyber Security in Healthcare Industry: A Global Perspective,, the healthcare sector is increasingly vulnerable to cyber-attacks. It is the prime target for such incidents due to its reliance on digital technologies and the vast amount of sensitive patient data it handles. Ensuring the safety of the cyber realm, particularly in the healthcare sector, has beco作者: 宿醉 時(shí)間: 2025-3-25 21:46
News Headlines Sentiment Analysis Using Vectorization Techniques,viding accurate public sentiment analysis for headlines, offering valuable insights to businesses, media, and researchers. The process comprehensively examines news headlines, converting text into numerical representations for sentiment score predictions. It effectively captures the semantic meaning作者: 輕而薄 時(shí)間: 2025-3-26 04:04
,Incorporating Small-World Characteristics into?LPWAN: A?Comparative Analysis, across extensive geographic regions. They play a crucial role in advancing the Internet of Things (IoT) by enhancing or even surpassing the performance of traditional cellular and short-range wireless technologies. Nevertheless, the challenges associated with a multi-hop LPWAN include increased dat作者: 蚊帳 時(shí)間: 2025-3-26 07:23
Role of Artificial Intelligence in Forecasting Indian Stock Market: A Critical Review on Applications,examine data and make decisions, ultimately optimizing earnings. AI-based stock trading is the purchase and sale of stocks utilizing technology designed to behave like a human, resulting in increased accuracy and speed. It also assists wealth management firms in maintaining constant control over sto作者: 改變立場(chǎng) 時(shí)間: 2025-3-26 09:47
,Elevating Privacy in?Recommendation Systems with?Hybrid Noise in?Local Differential Privacy,ocal Differential Privacy (LDP) to balance user privacy and suggestion accuracy. Focusing on matrix factorization, collaborative filtering, and multi-domain recommendation systems, the study analyzes trade-offs between suggestion accuracy and user privacy. The proposed Hybrid Noise method, incorpora作者: 無(wú)所不知 時(shí)間: 2025-3-26 16:37
Identification of Best Laptop Using Hybrid Modified MADM Approach,g attributes like warranty, size, battery life, specification, and others, the three approaches will be combined into two groups for the analysis. Additionally, these approaches have been evaluated using MADM assessment criteria such as Time and Space Complexity, Sensitivity Analysis, Ranking Reversal, and Relative Closeness Coefficient作者: 旋轉(zhuǎn)一周 時(shí)間: 2025-3-26 19:23
Conference proceedings 2024ial intelligence in modeling and simulation, natural language processing, brain–machine interfaces, collective intelligence, computer vision and speech understanding, data mining, swarm intelligence, machine learning, human–computer interaction, intelligent sensor, devices and applications, and intelligent database systems..作者: CLASH 時(shí)間: 2025-3-26 22:00 作者: ENACT 時(shí)間: 2025-3-27 02:54 作者: Generalize 時(shí)間: 2025-3-27 07:11 作者: Valves 時(shí)間: 2025-3-27 12:57 作者: 可用 時(shí)間: 2025-3-27 16:32 作者: 可以任性 時(shí)間: 2025-3-27 18:07
