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    New Artificial Intelligence Research from Mohammed Bin Rashid University of Medi cine and Health Sciences Discussed (Artificial intelligence-based automated prep rocessing and classification of impacted maxillary canines in panoramic radiogra phs)

    69-70页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on artificial intelligence are presented in a new report. According to news reporting out of Dubai, United Arab Emirates, by NewsRx editors, research stated, "Automating the digital workf low for diagnosing impacted canines using panoramic radiographs (PRs) is challen ging. This study explored feature extraction, automated cropping, and classifica tion of impacted and nonimpacted canines as a first step." Financial supporters for this research include Mohammed Bin Rashid University of Medicine And Health Sciences.

    Research Reports on Machine Learning from Zhejiang A&F University P rovide New Insights (Regional Forest Structure Evaluation Model Based on Remote Sensing and Field Survey Data)

    70-71页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Current study results on artificial intelligence have been published. According to news originating from Hangzhou, People's Repub lic of China, by NewsRx correspondents, research stated, "The assessment of a fo rest's structure is pivotal in guiding effective forest management, conservation efforts, and ensuring sustainable development. However, traditional evaluation methods often focus on isolated forest parameters and incur substantial data acq uisition costs." Financial supporters for this research include Zhejiang Forestry Science And Tec hnology Project; National Natural Science Foundation of China; Natural Science F oundation of Zhejiang Province.

    Studies from Beijing Institute of Technology Yield New Information about Robotic s (Obstacle Detection and Obstacle-surmounting Planning for a Wheel-legged Robot Based On Lidar)

    71-72页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Data detailed on Robotics have been presented. Ac cording to news reporting out of Beijing, People's Republic of China, by NewsRx editors, research stated, "PurposeThis paper aims to investigate an autonomous o bstacle-surmounting method based on a hybrid gait for the problem of crossing lo w-height obstacles autonomously by a six wheel-legged robot. The autonomy of obs tacle-surmounting is reflected in obstacle recognition based on multi-frame poin t cloud http://fusion.Design/methodology/approachIn this paper, first, for the problem that the lidar on the robot cannot scan the point cloud of low-height obstacles, the lidar is driven to rotate by a 2D turnt able to obtain the point cloud of low-height obstacles under the robot." Financial supporters for this research include National Key Research and Develop ment Program of China, National Natural Science Foundation of China (NSFC).

    Recent Findings from University of Salerno Provides New Insights into Machine Le arning (Situation Identification In Smart Wearable Computing Systems Based On Ma chine Learning and Context Space Theory)

    72-73页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Machine Learning are pre sented in a new report. According to news reporting from Fisciano, Italy, by New sRx journalists, research stated, "Wearable devices and smart sensors are increa singly adopted to monitor the behaviors of human and artificial agents. Many app lications rely on the capability of such devices to recognize daily life activit ies performed by the monitored users in order to tailor their behaviors with res pect to the occurring situations." Funders for this research include Ministry of Education, Universities and Resear ch (MIUR), Ministry of Education, Universities and Research (MIUR).

    University of Sao Paulo (USP) Reports Findings in Rectal Cancer (Machine Learnin g-Based Prediction of Responsiveness to Neoadjuvant Chemoradiotheapy in Locally Advanced Rectal Cancer Patients from Endomicroscopy)

    73-74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 Oncology - Rectal Canc er is the subject of a report. According to news reporting originating in Sao Pa ulo, Brazil, by NewsRx journalists, research stated, "The protocol for treating locally advanced rectal cancer consists of the application of chemoradiotherapy (neoCRT) followed by surgical intervention. One issue for clinical oncologists i s predicting the efficacy of neoCRT in order to adjust the dosage and avoid trea tment toxicity in cases when surgery should be conducted promptly." The news reporters obtained a quote from the research from the University of Sao Paulo (USP), "Biomarkers may be used for this purpose along with in vivo cell-l evel images of the colorectal mucosa obtained by probe-based confocal laser endo microscopy (pCLE) during colonoscopy. The aim of this article is to report our e xperience with Motiro, a computational framework that we developed for machine l earning (ML) based analysis of pCLE videos for predicting neoCRT response in loc ally advanced rectal cancer patients. pCLE videos were collected from 47 patient s who were diagnosed with locally advanced rectal cancer (T3/T4, or N+). The pat ients received neoCRT. Response to treatment by all patients was assessed by end oscopy along with biopsy and magnetic resonance imaging (MRI). Thirty-seven pati ents were classified as non-responsive to neoCRT because they presented a visibl e macroscopic neoplastic lesion, as confirmed by pCLE examination. Ten remaining patients were considered responsive to neoCRT because they presented lesions as a scar or small ulcer with negative biopsy, at post-treatment follow-up. Motiro was used for batch mode analysis of pCLE videos. It automatically characterized the tumoral region and its surroundings. That enabled classifying a patient as responsive or non-responsive to neoCRT based on pre-neoCRT pCLE videos. Motiro c lassified patients as responsive or non-responsive to neoCRT with an accuracy of 0.62 when using images of the tumor. When using images of regions surrounding the tumor, it reached an accuracy of 0.70. Feature analysis showed that spati al heterogeneity in fluorescence distribution within regions surrounding the tum or was the main contributor to predicting response to neoCRT. We developed a com putational framework to predict response to neoCRT by locally advanced rectal ca ncer patients based on pCLE images acquired pre-neoCRT."

    New Findings Reported from Southeast University Describe Advances in Machine Lea rning (Investigation On Compressive Strength of Coral Aggregate Concrete: Hybrid Machine Learning Models and Experimental Validation)

    74-75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 originating from Nanjing, People's Republic of China, by NewsRx correspondents, research stated, "The compressive strength of coral aggregate concrete (CAC-CS) holds importance in structural engineering and architectural design. Thus, this study establishes machine learning models for the prediction of CAC-CS and assesses their accuracy and generalization capabili ty." Financial supporters for this research include Natural Science Foundation of Sic huan Province, National Natural Science Foundation of China (NSFC).

    Investigators from Nanjing University Have Reported New Data on Robotics [Strong Circularly Polarized Phosphorescence of Achiral Pt(Ii) Metallomesogen Ind uced By Using a Chiral Co-assembly Strategy]

    75-76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 Ro botics. According to news reporting out of Nanjing, People's Republic of China, by NewsRx editors, research stated, "The high planarity and heavyatom effect of Pt(II) metallomesogens promote their stacking in the aggregated state and highl y efficient phosphorescence. This makes them promising candidate materials for c ircularly polarized phosphorescence (CPP) triggered by using a chiral co-assembl y strategy."

    University of Catania Reports Findings in Artificial Intelligence (Contribution of Artificial Intelligence to the Identification of Protein-Protein Interactions : A Case Study on PAR-3 and Its Partner Adapter Molecule Crk)

    76-77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 Artificial Intelligenc e is the subject of a report. According to news reporting originating in Catania , Italy, by NewsRx editors, the research stated, "Protein-protein interactions ( PPIs) are known to be involved in most cellular functions, and a detailed knowle dge of such interactions is essential for studying their role in normal and path ological conditions. Significant progress is being made in the identification of PPIs through advances in computational methods." The news reporters obtained a quote from the research from the University of Cat ania, "In particular, the AlphaFold2 machine learning-based model has been shown to accelerate drug discovery process by predicting the 3D structure of protein complexes. In this chapter, a straightforward protocol for predicting interprote in interactions between PAR-3 and its protein partner adapter molecule crk is pr ovided." According to the news reporters, the research concluded: "Such artificial intell igence-based and publicly available approaches can provide a resource for furthe r investigation of therapeutic drug targets." This research has been peer-reviewed.

    New Machine Learning Research Has Been Reported by a Researcher at University of Tokyo (Technical Understanding from Interactive Machine Learning Experience: a Study Through a Public Event for Science Museum Visitors)

    77-77页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on artificial intell igence are discussed in a new report. According to news reporting out of Tokyo, Japan, by NewsRx editors, research stated, "While AI technology is becoming incr easingly prevalent in our daily lives, the comprehension of machine learning (ML ) among non-experts remains limited." Financial supporters for this research include Jst Crest. Our news correspondents obtained a quote from the research from University of To kyo: "Interactive machine learning (IML) has the potential to serve as a tool fo r end users, but many existing IML systems are designed for users with a certain level of expertise. Consequently, it remains unclear whether IML experiences ca n enhance the comprehension of ordinary users. In this study, we conducted a pub lic event using an IML system to assess whether participants could gain technica l comprehension through hands-on IML experiences."

    Recent Findings from University of Science and Technology Beijing Provides New I nsights into Machine Learning (Alloy Design for Laser Powder Bed Fusion Additive Manufacturing: a Critical Review)

    78-79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 Beijing, People's Republic of China, by NewsRx journalists, research stated, "Metal additive manufacturing (AM) has been extensively studied in recent decades. Despite the significant pr ogress achieved in manufacturing complex shapes and structures, challenges such as severe cracking when using existing alloys for laser powder bed fusion (L-PBF ) AM have persisted."