標題: Titlebook: Emerging Challenges in Intelligent Management Information Systems; Proceedings of 26th Marcin Hernes,Jaros?aw W?tróbski Conference proceed [打印本頁] 作者: MEDAL 時間: 2025-3-21 16:50
書目名稱Emerging Challenges in Intelligent Management Information Systems影響因子(影響力)
書目名稱Emerging Challenges in Intelligent Management Information Systems影響因子(影響力)學科排名
書目名稱Emerging Challenges in Intelligent Management Information Systems網(wǎng)絡(luò)公開度
書目名稱Emerging Challenges in Intelligent Management Information Systems網(wǎng)絡(luò)公開度學科排名
書目名稱Emerging Challenges in Intelligent Management Information Systems被引頻次
書目名稱Emerging Challenges in Intelligent Management Information Systems被引頻次學科排名
書目名稱Emerging Challenges in Intelligent Management Information Systems年度引用
書目名稱Emerging Challenges in Intelligent Management Information Systems年度引用學科排名
書目名稱Emerging Challenges in Intelligent Management Information Systems讀者反饋
書目名稱Emerging Challenges in Intelligent Management Information Systems讀者反饋學科排名
作者: 浪蕩子 時間: 2025-3-21 20:14
Emerging Challenges in Intelligent Management Information Systems978-3-031-66761-9Series ISSN 2367-3370 Series E-ISSN 2367-3389 作者: vector 時間: 2025-3-22 03:09 作者: 使虛弱 時間: 2025-3-22 04:46
Lecture Notes in Networks and Systemshttp://image.papertrans.cn/f/image/320553.jpg作者: 鳴叫 時間: 2025-3-22 09:32
https://doi.org/10.1007/978-3-0348-7463-2resenting years of therapeutic preferences, course of treatment, and experience in developing and utilizing Individual Education Programs (IPET) in Polish therapeutic centers for children with developmental disorders. These IPETs comprise various elements, including targeted skills, teaching techniq作者: chronology 時間: 2025-3-22 13:14 作者: chronology 時間: 2025-3-22 17:02 作者: 不斷的變動 時間: 2025-3-22 23:37
https://doi.org/10.1007/978-1-4613-0711-2in farming. Using data and intelligent decision-making support systems can improve the productivity and profitability of farming and stimulate sustainable development. With modern technology, agricultural data, such as weather information, soil conditions, land use, and animal diseases, can be colle作者: 小平面 時間: 2025-3-23 03:30 作者: DIS 時間: 2025-3-23 07:53
Group Theory Applied to CI Methods,t was noted that these barriers are independent of the sub-discipline of medicine (e.g., oncology, ophthalmology, dermatology) and are recurrent in nature. The most important ones were described and grouped. The following four subgroups of barriers were identified: organizational and legal, technica作者: Bricklayer 時間: 2025-3-23 12:27 作者: Decline 時間: 2025-3-23 17:40
https://doi.org/10.1057/9780230627468ssels that can navigate autonomously or remotely, carry payloads, and be disposable or repairable. UMV networks are formations of autonomous vessels without a command, capable of carrying payloads. Technologies to suppress and counter UMVs have become kye areas of research. Jamming disrupts multi-ch作者: 聯(lián)想記憶 時間: 2025-3-23 21:31 作者: OVER 時間: 2025-3-24 02:03 作者: BATE 時間: 2025-3-24 02:24
Ali Mirzazadeh,Mohammad Reza Baneshimic AI analysis (AMC) in scoring models for calculating LGD (Losses Given Default) – the bank’s percentage share of credit losses (in case of non-payment or delayed repayment of the loan). Analysis based on simulation data generated on the basis of probability distributions, which were obtained from作者: 不理會 時間: 2025-3-24 09:52
https://doi.org/10.1007/1-4020-3791-0ly because of the speed and frequency but also by ruling out the influence of human emotions. Over the years many programming languages were used for machine learning research and system development. Python being easy to learn but still powerful has become popular within the scientific computing com作者: Misnomer 時間: 2025-3-24 13:51 作者: Ingratiate 時間: 2025-3-24 16:15
Fourier Transform Infrared Spectroscopymands for personalized products. The way their needs are met and understanding their consumer behaviors should allow companies to continuously analyze trends within the target group. In the current era of globalization, the Internet, and Big Data, using traditional methods alone may lead to companie作者: anthropologist 時間: 2025-3-24 19:45 作者: 不透明性 時間: 2025-3-25 01:51 作者: Immobilize 時間: 2025-3-25 06:03 作者: 用肘 時間: 2025-3-25 10:13 作者: 消息靈通 時間: 2025-3-25 14:21
https://doi.org/10.1007/978-1-4615-7416-3 learning methods. Such an approach allows combining several different strategies to detect fake news detections into a unified, cohesive methodology. The performed experiments that used the widely known “Liar, Liar Pants on Fire” benchmark dataset yielded promising results which surpassed outcomes described in the literature.作者: SCORE 時間: 2025-3-25 18:18 作者: 性別 時間: 2025-3-25 23:43 作者: flammable 時間: 2025-3-26 00:36
Supporting Algorithmic Trading with?Machine Learning: Progress in?Backend Technologymunity, with most recent machine learning libraries being Python-based. In this paper, Python optimization is tested on the machine learning models frequently used in algorithmic trading. The results are compared between four different Python versions: Python 3.7, Python 3.8, Python 3.9, and Python 3.11.作者: Paleontology 時間: 2025-3-26 04:41
https://doi.org/10.1007/978-1-4615-2530-1elected companies. Based on the collected data, the association rules were extracted using the Apriori algorithm. While the obtained results are very promising, however, one should also estimate the rate of return for the interrelated transactions to determine the true and ultimate value of discovered relationships.作者: definition 時間: 2025-3-26 12:15 作者: Daily-Value 時間: 2025-3-26 15:35 作者: AWL 時間: 2025-3-26 20:20
Forecasting e-learning Course Purchases Using Deep Learning Based on Customer Retentiongraphic data. From the business point of view, it is a crucial benefit for new customers who are not registered in the customer relationship management system, but use anonymously this system via the website.作者: 改良 時間: 2025-3-26 21:30 作者: micronutrients 時間: 2025-3-27 04:48 作者: 好忠告人 時間: 2025-3-27 06:02
Group Theory Applied to CI Methods,(or minimize) the risk of project failure. The study can be useful both for decision-makers who want to implement an AI-based medical information system (e.g., in a hospital), and for researchers and managers responsible for organizing medical facilities.作者: RECUR 時間: 2025-3-27 09:36 作者: tangle 時間: 2025-3-27 15:50
Decision Support in Production Environment Using Artificial Intelligencered. The goal of this article is to examine the essence and scale of this trend with regard to solutions dedicated to operational decisions. The research also examines other aspects of the solutions, and presents some insights into areas of application and the methods used to build such solutions.作者: Albinism 時間: 2025-3-27 18:10 作者: 細查 時間: 2025-3-27 23:25 作者: 罵人有污點 時間: 2025-3-28 04:33 作者: 正式通知 時間: 2025-3-28 08:13 作者: 阻撓 時間: 2025-3-28 10:28
SMAP: Smart Personalized Medication Assistant to?Help Nurses in?Medication Adherence challenging for different reasons: it requires to search medications in the hospital’s physical warehouse, and when pills are unavailable to search online resources for equivalents, to then search again the warehouse for availability of those. We therefore propose to support this process through an作者: graphy 時間: 2025-3-28 17:25 作者: 尊敬 時間: 2025-3-28 21:56 作者: 用手捏 時間: 2025-3-29 00:00 作者: 尊嚴 時間: 2025-3-29 05:22
Exploring Cause-and-Effect Relationships Between Public Company Press Releases and?Their Stock Priceices on NASDAQ stock exchange, followed by a brief discussion. For this purpose, it was necessary to download the stock quotes of selected companies from the NASDAQ market from public web sources. Additionally, media messages related to selected companies had to be downloaded, and then a news sentim作者: 思想上升 時間: 2025-3-29 09:28 作者: STRIA 時間: 2025-3-29 12:10 作者: 揮舞 時間: 2025-3-29 15:50
Forecasting Fuel Retail Sales Volume Using Machine Learning for Sustainable Decision-Makinglume influences the planning of the effective distribution of fuels. Therefore, it impacts all other supply chains and each country‘s economy. .: This research uses machine learning to forecast fuel retail sales volume. The choice of this method and the research subject are based on the complexity o作者: 迅速飛過 時間: 2025-3-29 23:08
The Effectiveness of?AI Methods Compared to?Statistical Analysis and?Data Modeling in?the?Constructimic AI analysis (AMC) in scoring models for calculating LGD (Losses Given Default) – the bank’s percentage share of credit losses (in case of non-payment or delayed repayment of the loan). Analysis based on simulation data generated on the basis of probability distributions, which were obtained from作者: enlist 時間: 2025-3-30 02:44
Supporting Algorithmic Trading with?Machine Learning: Progress in?Backend Technologyly because of the speed and frequency but also by ruling out the influence of human emotions. Over the years many programming languages were used for machine learning research and system development. Python being easy to learn but still powerful has become popular within the scientific computing com作者: 牛馬之尿 時間: 2025-3-30 05:42
Forecasting e-learning Course Purchases Using Deep Learning Based on Customer Retentiones are based on analyzing many user profile characteristics, which are only sometimes available to e-learning course providers. The aim of this research is to develop a method for forecasting e-learning course purchases using deep learning based on customer retention. The multi-layer perceptron and 作者: Esophagus 時間: 2025-3-30 10:21
Customer Segmentation and Anticipation of Consumer Behaviors Based on Machine Learning and CARTmands for personalized products. The way their needs are met and understanding their consumer behaviors should allow companies to continuously analyze trends within the target group. In the current era of globalization, the Internet, and Big Data, using traditional methods alone may lead to companie作者: 人類 時間: 2025-3-30 15:50
Prediction of Customer Purchases Using LSTM Deep Neural Networkgies, enhances promotional campaign effectiveness, optimizes inventory management, and reduces food loss and waste, ultimately leading to sales growth and profit maximization. The paper aimed to develop a deep learning model using the LSTM (long short-term memory) neural network to predict customer 作者: 哪有黃油 時間: 2025-3-30 19:17
Acceptance and Use of ChatGPT Among Accounting and Finance Higher Education Studentsting Venkatesh‘s Unified Theory of Acceptance and Use of Technology (UTAUT), a sample of 237 accounting and finance students was surveyed. The results confirm eight out of ten proposed hypotheses, highlighting that behavioral intention towards ChatGPT is shaped by effort expectancy, social influence
