標(biāo)題: Titlebook: Artificial Intelligence for Data Science in Theory and Practice; Mohamed Alloghani,Christopher Thron,Saad Subair Book 2022 The Editor(s) ( [打印本頁(yè)] 作者: Glitch 時(shí)間: 2025-3-21 18:47
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作者: Blanch 時(shí)間: 2025-3-21 22:39 作者: 希望 時(shí)間: 2025-3-22 04:28 作者: excrete 時(shí)間: 2025-3-22 07:48
The Annual Theme of Fair Wealth,y local laboratories in Khartoum, Sudan. A watershed segmentation technique is used to acquire the erythrocytes from microscopic blood sample images, followed by a deep learning classifier. The classifier is based on a convolutional neural network (CNN) obtained using transfer learning: first, a bas作者: entrance 時(shí)間: 2025-3-22 09:33
The Annual Theme of Fair Wealth,s conducted using actual number plates. According to this study, there are three main different levels of the recognition system number plate detection, number plate recognition, and character recognition. In each processing level, there are another subpreprocessing operations and deep learning algo作者: 講個(gè)故事逗他 時(shí)間: 2025-3-22 15:02 作者: 曲解 時(shí)間: 2025-3-22 17:41
FET and Legitimate Expectations,he music the model is trained on. The MIDI format makes it convenient to adjust the tempo, instruments, and other parameters of the generated music. A survey involving 100 human listeners who ranked five randomly generated songs obtained the result that 80% of song rankings were average or above, wh作者: LIKEN 時(shí)間: 2025-3-23 00:00
Past Achievements and Future Promises of Digital Transformation: A Literature Review,n now figure prominently in discussions of current and future trends. In particular digital transformation refers to the idea of extensive restructuring of operations in organizations, business agencies, and other entities to incorporate technological innovations that completely reshape the approach作者: 猜忌 時(shí)間: 2025-3-23 04:06 作者: OASIS 時(shí)間: 2025-3-23 07:03
A Systematic Review on Application of Data Mining Techniques in Healthcare Analytics and Data-Drive16 were considered as focusing on the theoretical perspective of the application of data mining in healthcare analytics. The review reveals a burgeoning literature that touch on a wide variety of aspects of healthcare, both in various aspects of medical decision support and administration. In view o作者: 過(guò)份好問(wèn) 時(shí)間: 2025-3-23 13:23 作者: 骨 時(shí)間: 2025-3-23 14:08
Automatic Number Plate Recognition System for Oman,s conducted using actual number plates. According to this study, there are three main different levels of the recognition system number plate detection, number plate recognition, and character recognition. In each processing level, there are another subpreprocessing operations and deep learning algo作者: 潰爛 時(shí)間: 2025-3-23 21:52 作者: 食物 時(shí)間: 2025-3-23 23:47 作者: 固定某物 時(shí)間: 2025-3-24 05:25
Artificial Intelligence for Data Science in Theory and Practice作者: 期滿 時(shí)間: 2025-3-24 08:55 作者: 易碎 時(shí)間: 2025-3-24 13:13 作者: 煩擾 時(shí)間: 2025-3-24 15:25 作者: Frequency-Range 時(shí)間: 2025-3-24 21:09 作者: CHECK 時(shí)間: 2025-3-25 02:19 作者: Musculoskeletal 時(shí)間: 2025-3-25 05:33
Cognitive Computing, Emotional Intelligence, and Artificial Intelligence in Healthcare,ess the potential of comprehending emotions, with the result that they may contribute to patient-centered services. Some of the drawbacks noted with the use of these technologies include the risk to data privacy and security, job losses due to automation, and the lack of clarity concerning legal liability when machines are used to make decisions.作者: 祖?zhèn)?nbsp; 時(shí)間: 2025-3-25 10:06
Machine Learning for Business Analytics: Case Studies and Open Research Problems,to job loss. This chapter describes the different ML techniques being currently used in business. Several case studies in which ML is used for business purposes are presented. Open research problems in the areas of ML in BA are discussed.作者: seroma 時(shí)間: 2025-3-25 14:24 作者: GOAT 時(shí)間: 2025-3-25 16:13
https://doi.org/10.1007/978-3-322-81919-2to job loss. This chapter describes the different ML techniques being currently used in business. Several case studies in which ML is used for business purposes are presented. Open research problems in the areas of ML in BA are discussed.作者: SEMI 時(shí)間: 2025-3-25 20:57 作者: 柔聲地說(shuō) 時(shí)間: 2025-3-26 00:36 作者: Intercept 時(shí)間: 2025-3-26 04:32 作者: 莎草 時(shí)間: 2025-3-26 10:40 作者: 指數(shù) 時(shí)間: 2025-3-26 13:12 作者: 騷擾 時(shí)間: 2025-3-26 19:02 作者: 明確 時(shí)間: 2025-3-26 21:09
https://doi.org/10.1007/978-3-322-81919-2t can be used to resolve problems and enhance the efficiency, productivity, and revenue. Applications of machine learning (ML) within BA have proliferated in recent years and have revolutionized the process of business decision-making, despite concerns that implementation of BA functions could lead 作者: Bereavement 時(shí)間: 2025-3-27 04:43 作者: 并置 時(shí)間: 2025-3-27 08:50
https://doi.org/10.1057/9781137448262hrough MOOC platforms. However, because of the huge number of learners, they often not receive sufficient support from instructors and their peers during the learning process, leading to high dropout, low completion, and low success rates observed in the MOOCs. This chapter focuses on analysing rele作者: Soliloquy 時(shí)間: 2025-3-27 12:49 作者: LINES 時(shí)間: 2025-3-27 16:25 作者: 狗舍 時(shí)間: 2025-3-27 19:57
https://doi.org/10.1007/978-3-322-82019-8s. The integration of healthcare analytics has continued to revolutionize the healthcare industry and has helped in dealing with high readmission rates and medical fraud, among other problematic issues in healthcare. The systematic review employed a Preferred Reporting Items for Systematic Reviews a作者: 朝圣者 時(shí)間: 2025-3-27 23:50 作者: 常到 時(shí)間: 2025-3-28 02:12
The Annual Theme of Fair Wealth,vehicles in roads, monitoring highways, parking management, and so other transportation applications. ANPR systems have the capability to automatically identify vehicle number plates from images and convert them to machine-readable ASCII characters. Systems have been developed using several algorith作者: CARK 時(shí)間: 2025-3-28 06:41 作者: Vertical 時(shí)間: 2025-3-28 12:41 作者: ALT 時(shí)間: 2025-3-28 14:40
Machine Learning for Business Analytics: Case Studies and Open Research Problems,t can be used to resolve problems and enhance the efficiency, productivity, and revenue. Applications of machine learning (ML) within BA have proliferated in recent years and have revolutionized the process of business decision-making, despite concerns that implementation of BA functions could lead 作者: 起波瀾 時(shí)間: 2025-3-28 21:41 作者: ANTE 時(shí)間: 2025-3-29 01:49 作者: 松果 時(shí)間: 2025-3-29 05:22
Rainfall Prediction Using Machine Learning Models: Literature Survey,, machine learning has been extensively used in the area of rainfall prediction. However, some papers suggest that applications of machine learning in different fields are deficient is some respects. This chapter performs a review on 66 research papers that use machine learning tools to predict rain作者: 污穢 時(shí)間: 2025-3-29 11:00
