標題: Titlebook: Applied Machine Learning and Data Analytics; 6th International Co M. A. Jabbar,Sanju Tiwari,Tasneem Bano Rehman Conference proceedings 2024 [打印本頁] 作者: 威風 時間: 2025-3-21 19:19
書目名稱Applied Machine Learning and Data Analytics影響因子(影響力)
書目名稱Applied Machine Learning and Data Analytics影響因子(影響力)學科排名
書目名稱Applied Machine Learning and Data Analytics網絡公開度
書目名稱Applied Machine Learning and Data Analytics網絡公開度學科排名
書目名稱Applied Machine Learning and Data Analytics被引頻次
書目名稱Applied Machine Learning and Data Analytics被引頻次學科排名
書目名稱Applied Machine Learning and Data Analytics年度引用
書目名稱Applied Machine Learning and Data Analytics年度引用學科排名
書目名稱Applied Machine Learning and Data Analytics讀者反饋
書目名稱Applied Machine Learning and Data Analytics讀者反饋學科排名
作者: 沒有準備 時間: 2025-3-21 21:27 作者: wall-stress 時間: 2025-3-22 00:32
Ergodic Theorems for Densities,vices, augmented reality offers immersive internet experiences with greater capabilities. The Metaverse fosters realism, facilitating remote cooperation, immersive digital environments, enhanced interactions, and more. This paper proposes that the metaverse needs to prioritize human-centricity. In t作者: 寒冷 時間: 2025-3-22 06:25
https://doi.org/10.1007/978-1-4419-7970-4nd profit. Blockchain innovation has acquired an interest in the course recently. The most important issue about this is currency exchange, but its application is not restricted to only Digital currency. This technology has the potential to influence different business sectors. Blockchain has brough作者: Sigmoidoscopy 時間: 2025-3-22 10:21 作者: SPECT 時間: 2025-3-22 13:17 作者: 嘴唇可修剪 時間: 2025-3-22 18:04 作者: AND 時間: 2025-3-23 00:00 作者: abreast 時間: 2025-3-23 02:16
Entropy and the Tao of Countingces threats from a variety of leaf diseases, leading to substantial reduction in yield. Prompt and precise identification of these diseases is essential for implementing effective countermeasures and maintaining adequate food supply. Recently, deep learning methodologies have demonstrated remarkable作者: overrule 時間: 2025-3-23 06:06
https://doi.org/10.1007/978-3-030-35457-2on process. There may be hundreds or thousands of unstructured and heterogeneous reviews for a popular product. Traditional text processing techniques have limited capability in extracting opinions on customers’ product reviews from huge data over the Internet. Although lexical approaches aim to map作者: Mawkish 時間: 2025-3-23 12:50 作者: IVORY 時間: 2025-3-23 14:31
Entropy and the Tao of Countingl as general loss of initiative and interest in activities. The effects of late diagnosis of depression have culminated in many students dropping out of school, becoming unfulfilled in life and thereby posing a threat to human and environmental stability. Linear models for depression detection lack 作者: Countermand 時間: 2025-3-23 19:44 作者: obeisance 時間: 2025-3-23 22:44 作者: neoplasm 時間: 2025-3-24 05:59 作者: ascend 時間: 2025-3-24 07:07
https://doi.org/10.1007/978-3-7091-2965-4ode produced by Large Language Models (LLMs) like ChatGPT remains insufficiently explored. This article delves into the realm of ChatGPT-generated code, aiming to investigate the perspectives of esteemed programmers and researchers through interviews. The consensus among interviewees highlights that作者: 肥料 時間: 2025-3-24 14:44 作者: Dealing 時間: 2025-3-24 15:33
,Classical Entropy and?Divergence,entifying investment opportunities in uncertain times. Globalization and internet access have facilitated portfolio diversification across regions and this paper examines the application of artificial intelligence (AI) in identifying the best global market indices for investment during a recession. 作者: Metamorphosis 時間: 2025-3-24 22:14 作者: RAFF 時間: 2025-3-25 00:56 作者: membrane 時間: 2025-3-25 07:16 作者: Kaleidoscope 時間: 2025-3-25 08:21 作者: 反對 時間: 2025-3-25 14:45 作者: 瑣碎 時間: 2025-3-25 17:00
,Process Selection for?RPA Projects with?MDCM: The Case of?Izmir Bakircay University, incorporates two MCDM techniques, including the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), to assist decision-makers in effectively assessing and ranking alternative RPA processes. AHP helps determine the relative weights of 作者: Sinus-Node 時間: 2025-3-25 21:11
,The Metaverse: A Multidisciplinary Perspective on?the?Future of?Human Interaction,evelopment of HCM. This study presents a comprehensive examination of the utilization of human-centric technologies inside the metaverse, together with the corresponding application scenarios for the Human-Centric Metaverse (HCM). This document aims to offer academics and developers guidance and ins作者: Dedication 時間: 2025-3-26 01:54
Blockchain - A Secure and Transparent Solution to Detect Counterfeit Products,This QR code is linked to the Blockchain network to identify the fake product. A block will be created to store the product-related information and its QR code, like product details, and generate a unique code for each block in the blockchain database. The user uploads and then compares the unique c作者: crucial 時間: 2025-3-26 05:08 作者: 不足的東西 時間: 2025-3-26 12:02 作者: 轉換 時間: 2025-3-26 16:10
Benchmarking ML and DL Models for Mango Leaf Disease Detection: A Comparative Analysis, and classification, and evaluate the influence of data preprocessing, feature extraction, and hyperparameter optimization on model performance. By systematically comparing a diverse range of ML and DL models, our research aims to contribute to the development of efficient, reliable, and robust meth作者: foppish 時間: 2025-3-26 18:51 作者: Connotation 時間: 2025-3-26 22:14
Aspect-Based Sentiment Classification of Online Product Reviews Using Hybrid Lexicon-Machine Learnict the sentiments of some new input tweets into positive, negative, and neutral polarities. Tweepy library was used to extract tweets on Laptop reviews to identify some aspects and classify sentiments towards them into specific polarity. After data pre-processing, the implementation in Python used N作者: Preamble 時間: 2025-3-27 01:35 作者: 廣大 時間: 2025-3-27 06:25
Intensity-Chromaticity-Luminance (ICL) Based Technique for Face Spoofing Detection, extracted using Gray-Level Co-occurrence Matrix, GLCM. Second, the statistical descriptors features of RGB, HSV, YCbCr, CMYK, YIQ and YUV color channels are extracted to get the color distribution information. Subsequently, the integration of texture and color channel features results in the format作者: 驚奇 時間: 2025-3-27 12:31 作者: 乏味 時間: 2025-3-27 15:41
,Sentiment Analysis of?Monkeypox Tweets in?Latin America,2022, to October 31, 2022). Natural language processing techniques were employed to preprocess and analyze the textual content. Sentiment analysis tools were applied to classify tweets into positive or negative sentiments. Our findings reveal valuable insights into the sentiment dynamics surrounding作者: 倒轉 時間: 2025-3-27 19:26
Stock Market Prediction with Artificial Intelligence Techniques in Recession Times,etter outlook. The research highlights the value of AI-based forecasting in enabling informed investment decisions, portfolio diversification, and capturing opportunities across geographies during downturns.作者: 課程 時間: 2025-3-28 01:32 作者: Lament 時間: 2025-3-28 04:10 作者: optic-nerve 時間: 2025-3-28 09:38
https://doi.org/10.1007/978-1-4419-7970-4This QR code is linked to the Blockchain network to identify the fake product. A block will be created to store the product-related information and its QR code, like product details, and generate a unique code for each block in the blockchain database. The user uploads and then compares the unique c作者: 搖曳 時間: 2025-3-28 12:35
https://doi.org/10.1007/978-1-4757-3982-4on the experimental simulation of attacked nodes. It also shows the impact of the defense mechanism on the various topologies of the nodes as predefined in the testbed implementing a Distributed Denial-of-Service attack on the nodes. The proposed algorithm showcases the nodes that are affected due t作者: 遺棄 時間: 2025-3-28 18:17 作者: 動作謎 時間: 2025-3-28 19:15 作者: 載貨清單 時間: 2025-3-29 02:00
Entropy and the Tao of Countingge, and EfficientNet-V2, in the context of cassava leaf disease classification. The dataset is comprised of nearly 15,000 test images, accompanied by image_id and label data in train.csv and sample_submission.csv files. Data preprocessing, including resizing, normalization, and augmentation, is cond作者: 無底 時間: 2025-3-29 06:04
https://doi.org/10.1007/978-3-030-35457-2ct the sentiments of some new input tweets into positive, negative, and neutral polarities. Tweepy library was used to extract tweets on Laptop reviews to identify some aspects and classify sentiments towards them into specific polarity. After data pre-processing, the implementation in Python used N作者: 哄騙 時間: 2025-3-29 10:16
Entropy and the Tao of Countingom questionnaires administered to students in University of Uyo were analyzed. MATLAB programming tools were deployed for implementation of the model. The proposed fuzzy model identified and classified depression cases with 94.21% accuracy. The system would assist in early detection of depression in作者: MEN 時間: 2025-3-29 12:41 作者: antiquated 時間: 2025-3-29 18:43
https://doi.org/10.1007/978-3-7091-2965-4ts from interviews with experts. By facilitating insightful discussions, the research aims to pave the way for proposing impactful enhancements that bolster the reliability of ChatGPT’s code outputs. To enhance the performance and overall dependability of LLMs, the article presents seven potential s作者: 上腭 時間: 2025-3-29 21:19
Entropy, Coldness and Absolute Temperature,2022, to October 31, 2022). Natural language processing techniques were employed to preprocess and analyze the textual content. Sentiment analysis tools were applied to classify tweets into positive or negative sentiments. Our findings reveal valuable insights into the sentiment dynamics surrounding作者: calamity 時間: 2025-3-30 03:53 作者: 緯線 時間: 2025-3-30 07:41 作者: Vaginismus 時間: 2025-3-30 11:19
,Process Selection for?RPA Projects with?MDCM: The Case of?Izmir Bakircay University,tant for public universities as it helps streamline administrative processes, improve operational efficiency, and free up staff resources, allowing the institutions to focus more on delivering quality education and enhancing the overall student experience. However, selecting the right processes for 作者: 賞心悅目 時間: 2025-3-30 13:50 作者: 猜忌 時間: 2025-3-30 17:50 作者: FLUSH 時間: 2025-3-30 23:06
,Data-Driven Approach to?Network Intrusion Detection System Using Modified Artificial Bee Colony Algwork using the Artificial Bees Colonization Algorithm. A self-driven metric has been defined to determine the performance of a network that would detect the behavior of its nodes. This algorithmic metric is inspired by the Nature-Inspired Artificial Bees Colonization Algorithm. The end result is ran作者: 揮舞 時間: 2025-3-31 04:48 作者: persistence 時間: 2025-3-31 06:31
An Efficient Image Dehazing Technique Using DSRGAN and VGG19,ss the issue of haze, image dehazing has become an area of significant importance. However, many current techniques for unsupervised picture dehazing rely on simplified atmospheric scattering models and a priori knowledge, which can result in inaccuracies and poor dehazing performance. The study of 作者: Noisome 時間: 2025-3-31 11:25
Benchmarking ML and DL Models for Mango Leaf Disease Detection: A Comparative Analysis,rate detection of these diseases is crucial for enabling timely interventions and enhancing crop management strategies. In this study, we conduct a comprehensive comparison of various ML and DL models to effectively detect and classify common mango leaf diseases, as well as to differentiate between 作者: 音樂戲劇 時間: 2025-3-31 14:42
Cassava Syndrome Scan a Pioneering Deep Learning System for Accurate Cassava Leaf Disease Classificces threats from a variety of leaf diseases, leading to substantial reduction in yield. Prompt and precise identification of these diseases is essential for implementing effective countermeasures and maintaining adequate food supply. Recently, deep learning methodologies have demonstrated remarkable作者: 金哥占卜者 時間: 2025-3-31 19:38 作者: 緊張過度 時間: 2025-3-31 23:52
DESI: Diversification of E-Commerce Recommendations Using Semantic Intelligence,ramework, which is a query-driven, semantically oriented, Web 3.0 conforming ecommerce recommendation framework. The pre-process query was enriched using the Latent Semantic Indexing. Ontologies are generated from the ecommerce product dataset. The classification of the metadata takes place using th
