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    New Machine Learning Findings from Parul University Described (Machine learning model on blockchain for secured mobile communication)

    78-78页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New study results on artificial intell igence have been published. According to news originating from Gujarat, India, b y NewsRx editors, the research stated, “The Internet of Things (IoT) is an open network model that aims to build and link the interactions between the devices a nd links.” The news editors obtained a quote from the research from Parul University: “Conv entional blockchain models aimed at increasing scalability but often it is limit ed by its capacity and performance. The machine learning algorithms aim to deter mine the parameters of the blockchain that finds the optimal value required to o btain an increased scalability without any limitations in its performance. In th is paper, a machine learning model called Block Chain-Support Vector Machine (BC -SVM) is integrated with the blockchain to improve the process of communication in a secure way. Here Modified elliptic-curve cryptography (ECC) is a public key encryption technique based on elliptic curve theory and may be utilised for cre ating cryptographic keys more quickly and efficiently, increasing security. The machine learning model optimizes the necessary security parameters required to t ransfer the data in a secure way.”

    New Data from Universidad Peruana Union Illuminate Research in Artificial Intell igence [Adaptation and Psychometric Properties of an Attitude toward Artificial Intelligence Scale (AIAS-4) among Peruvian Nurses]

    78-79页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on artificial intelligence is now available. According to news originating from Lima, Peru, by NewsRx corr espondents, research stated, “The integration of Artificial Intelligence (AI) in to various aspects of daily life has sparked growing interest in understanding p ublic attitudes toward this technology. Despite advancements in tools to assess these perceptions, there remains a need for culturally adapted instruments, part icularly in specific contexts like that of Peruvian nurses.”

    Study Data from Northwest University Update Understanding of Machine Learning (A n In Silico Scheme for Optimizing the Enzymatic Acquisition of Natural Biologica lly Active Peptides Based On Machine Learning and Virtual Digestion)

    79-80页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Machine Learning. According to news reporting from Shaanxi, People’s Republic of China, by NewsRx journalists, research stated, “As a potential natural active substanc e, natural biologically active peptides (NBAPs) are recently attracting increasi ng attention. The traditional proteolysis methods of obtaining effective NBAPs a re considerably vexing, especially since multiple proteases can be used, which b locks the exploration of available NBAPs.”

    Researchers’ from University of Technology Sydney Report Details of New Studies and Findings in the Area of Machine Learning (The Machine Learning Attribution o f Quasi-Decadal Precipitation and Temperature Extremes in Southeastern Australia ...)

    80-81页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New study results on artificial intell igence have been published. According to news originating from Ultimo, Australia , by NewsRx correspondents, research stated, “Much of eastern and southeastern A ustralia ( SEAUS ) suffered from historic flooding, heat waves, and drought duri ng the quasi-decadal 2010-2022 period, similar to that experienced globally.”

    Ifakara Health Institute Reports Findings in Falciparum Malaria (Reagent-free de tection of Plasmodium falciparum malaria infections in field-collected mosquitoe s using mid-infrared spectroscopy and machine learning)

    81-82页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Mosquito-Borne Disease s - Falciparum Malaria is the subject of a report. According to news originating from Morogoro, Tanzania, by NewsRx correspondents, research stated, “Field-deri ved metrics are critical for effective control of malaria, particularly in sub-S aharan Africa where the disease kills over half a million people yearly. One key metric is entomological inoculation rate, a direct measure of transmission inte nsities, computed as a product of human biting rates and prevalence of Plasmodiu m sporozoites in mosquitoes.”

    Study Results from Nile University Provide New Insights into Machine Learning (A Machine Learning Led Investigation Predicting the Thermos-mechanical Properties of Novel Waste-based Composite In Construction)

    82-83页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ma chine Learning. According to news reporting originating from Abuja, Nigeria, by NewsRx correspondents, research stated, “The study explores the potential of mac hine learning (ML) in predicting the thermal and mechanical properties of earth- based composites reinforced with natural Borassus fruit fiber. The limited avail ability of large datasets for accurate predictions is a challenge in material sc ience research, which this study addresses.”

    Research Data from Northwestern Polytechnic University Update Understanding of M achine Learning (Machine Learning Assisted Microtextured Regions Segmentation In a Near-a Titanium Alloy)

    83-84页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Machine Learning. According to news reporting originating in Xi’an, People’s Republic o f China, by NewsRx journalists, research stated, “Developing automated, reliable , and advanced segmentation methodologies for identifying microtextured regions (MTRs) in complex titanium microstructures is imperative due to their substantia l influence on dwellfatigue performance.”

    Universiti Tenaga Nasional Researchers Update Knowledge of Machine Learning (Mal Red: An innovative approach for detecting malware using the red channel analysis of color images)

    84-85页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on artificial in telligence have been published. According to news originating from the Universit i Tenaga Nasional by NewsRx correspondents, research stated, “Technological adva ncements have significantly progressed and innovated across various industries. However, these advancements have also led to an increase in cyberattacks using m alware.”

    Investigators from Lomonosov Moscow State University Target Machine Learning (Ma chine Learning To Control Network Powered By Computing Infrastructure)

    85-86页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Machine Learning. According to news reporting from Moscow, Russia, by NewsRx journalist s, research stated, “Machine learning (ML) methods are applied to optimal resour ce control for Network Powered by Computing Infrastructure (NPC)-a new generatio n computing infrastructure. The relation between the proposed computing infrastr ucture and the GRID concept is considered.”

    Data on Artificial Intelligence Detailed by Researchers at University of Granada (Automatic Evolutionary Design of Quantum Rule-based Systems and Applications T o Quantum Reinforcement Learning)

    86-87页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Artificial In telligence have been published. According to news reporting originating from Gra nada, Spain, by NewsRx correspondents, research stated, “Explainable artificial intelligence is a research topic whose relevance has increased in recent years, especially with the advent of large machine learning models. However, very few a ttempts have been proposed to improve interpretability in the case of quantum ar tificial intelligence, and many existing quantum machine learning models in the literature can be considered almost as black boxes.”