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    Al-Furat Al-Awsat Technical University Researchers Add New Study Findings to Res earch in Machine Learning (Prediction of Monthly Wind Velocity Using Machine Lea rning)

    76-77页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on artificial intelligenc e is the subject of a new report. According tonews reporting out of Al-Furat Al -Awsat Technical University by NewsRx editors, research stated, “Theutilization of non-renewable energy resources necessitates the power sector’s adoption of a lternative energysources, including photovoltaic and wind power generation syst ems.”

    Zhejiang Normal University Details Findings in Artificial Intelligence (Converge nce Analysis of Artificial Intelligence Research Capacity: Are the Less Develop d Catching Up With the Developed Ones?)

    77-78页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Artificial Intelligence is now available. According to news reporting outof Jinhua, People’s Republic of China, by NewsRx editors, research stated, “This study examines whetherless developed countries are catching up with developed ones using the log t converge nce technique (LCT)and the dynamic spatial ordered probit (DSOP) model. The fin dings revealed that first, there is no overallconvergence in AI research capaci ty.”

    Jinnah Sindh Medical University Researcher Publishes New Study Findings on Artif icial Intelligence (Exploring the Impact of Artificial Intelligence on Global He alth and Enhancing Healthcare in Developing Nations)

    78-78页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According to newsoriginating from Sindh, Pakista n, by NewsRx correspondents, research stated, “Artificial intelligence (AI),whi ch combines computer science with extensive datasets, seeks to mimic human-like intelligence.”The news correspondents obtained a quote from the research from Jinnah Sindh Med ical University:“Subsets of AI are being applied in almost all fields of medici ne and surgery. This review focuses onthe applications of AI in healthcare sett ings in developing countries, designed to underscore its significanceby compreh ensively outlining the advancements made thus far, the shortcomings encountered inAI applications, the present status of AI integration, persistent challenges, and innovative strategies tosurmount them. Articles from PubMed, Google Schola r, and Cochrane were searched from 2000 to 2023with keywords including AI and h ealthcare, focusing on multiple medical specialties. The increasing roleof AI i n diagnosis, prognosis prediction, and patient management, as well as hospital m anagement andcommunity healthcare, has made the overall healthcare system more efficient, especially in the high patientload setups and resource-limited areas of developing countries where patient care is often compromised.However, chall enges, including low adoption rates and the absence of standardized guidelines, high installationand maintenance costs of equipment, poor transportation and co nnectivvity issues hinder AI’s fulluse in healthcare.”

    Tongji University Reports Findings in Personalized Medicine (Machine learning an d optical coherence tomography-derived radiomics analysis to predict persistent diabetic macular edema in patients undergoing anti-VEGF intravitreal therapy)

    79-80页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Drugs and Therapies - Personalized Medicine is the subject of areport. According to news reporting or iginating from Shanghai, People’s Republic of China, by NewsRxcorrespondents, r esearch stated, “Diabetic macular edema (DME) is a leading cause of vision loss inpatients with diabetes. This study aimed to develop and evaluate an OCT-omics prediction model forassessing anti-vascular endothelial growth factor (VEGF) t reatment response in patients with DME.”Financial support for this research came from Hunan Scientific Research Program of traditional ChineseMedicine.

    Researchers at Deakin University Target Artificial Intelligence (Navigating Gene rative Artificial Intelligence Promises and Perils for Knowledge and Creative Wo rk)

    80-80页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Artificial Intell igence are discussed in a new report. Accordingto news reporting from Geelong, Australia, by NewsRx journalists, research stated, “Generative artificialintell igence (GenAI) is rapidly becoming a viable tool to enhance productivity and act as a catalyst forinnovation across various sectors.”The news correspondents obtained a quote from the research from Deakin Universit y, “Its ability toperform tasks that have traditionally required human judgment and creativity is transforming knowledgeand creative work. Yet it also raises concerns and implications that could reshape the very landscape ofknowledge and creative work.”

    Recent Findings in Intelligent Systems Described by Researchers from Tongji Univ ersity (A Novel Tri-stage With Reward-switching Mechanism for Constrained Multio bjective Optimization Problems)

    81-82页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning - Intelligent Systems. According tonews reporting originating from Sh anghai, People’s Republic of China, by NewsRx correspondents, researchstated, “ The effective exploitation of infeasible solutions plays a crucial role in addre ssing constrainedmultiobjective optimization problems (CMOPs). However, existin g constrained multiobjective optimizationevolutionary algorithms (CMOEAs) encou nter challenges in effectively balancing objective optimizationand constraint s atisfaction, particularly when tackling problems with complex infeasible regions .”

    University of Wurzburg Reports Findings in Machine Learning (An orchestra of mac hine learning methods reveals landmarks in singlecell data exemplified with agi ng fibroblasts)

    82-83页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating in Wurzburg, Germ any, by NewsRx journalists, research stated, “In this work, aPython framework f or characteristic feature extraction is developed and applied to gene expression dataof human fibroblasts. Unlabeled feature selection objectively determines g roups and minimal gene setsseparating groups.”Financial supporters for this research include Deutsche Forschungsgemeinschaft, Deutsche Forschungsgemeinschaft,Land Bavaria.

    Research on Machine Learning Published by a Researcher at Instituto de Quimica ( Hydrodesulfurization of Dibenzothiophene: A Machine Learning Approach)

    83-84页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artific ial intelligence. According to news reportingoriginating from the Instituto de Quimica by NewsRx correspondents, research stated, “The hydrodesulfurization(HD S) process is widely used in the industry to eliminate sulfur compounds from fue ls.”The news correspondents obtained a quote from the research from Instituto de Qui mica: “However,removing dibenzothiophene (DBT) and its derivatives is a challen ge. Here, the key aspects that affect theefficiency of catalysts in the HDS of DBT were investigated using machine learning (ML) algorithms. Theconversion of DBT and selectivity was estimated by applying Lasso, Ridge, and Random Forest re gressiontechniques. For the estimation of conversion of DBT, Random Forest and Lasso offer adequate predictions.At the same time, regularized regressions have similar outcomes, which are suitable for selectivityestimations. According to the regression coefficient, the structural parameters are essential predictors f orselectivity, highlighting the pore size, and slab length.”

    Findings from National Institute of Technology Has Provided New Data on Machine Learning (An Effective Undersampling Method for Biomedical Named Entity Recognit ion Using Machine Learning)

    84-84页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating in Kerala, Indi a, by NewsRx journalists, research stated, “Biomedical-named entityrecognition (Bio-NER) is a key task of biomedical natural language processing, which is perf ormed onbiomedical documents containing professional literature and electronic health records. It involves theidentification and categorisation of the named e ntities that are presented in a text document.”

    Recent Findings in Artificial Intelligence Described by Researchers from Vellore Institute of Technology (A Comprehensive Bibliometric and Content Analysis of A rtificial Intelligence In Language Learning: Tracing Between the Years 2017 and 2023)

    85-85页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Artificial In telligence have been published. According to newsreporting originating in Tamil Nadu, India, by NewsRx journalists, research stated, “The rising pervasivenessof Artificial Intelligence (AI) has led applied linguists to combine it with lan guage teaching and learningprocesses. In many cases, such implementation has si gnificantly contributed to the field.”