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    Report Summarizes Intelligent Systems Study Findings from Army Engineering Unive rsity (Dib-uap: Enhancing the Transferability of Universal Adversarial Perturbat ion Via Deep Information Bottleneck)

    39-40页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning - Intel ligent Systems are presented in a new report.According to news reporting out of Jiangsu, People’s Republic of China, by NewsRx editors, researchstated, “Signi ficant structural differences in DNN-based object detectors hinders the transfer ability ofadversarial attacks. Studies show that intermediate features extracte d by the detector contain more modelindependentinformation, and disrupting the se features can enhance attack transferability across differentdetectors.”

    Studies from Federal University in the Area of Machine Learning Reported (Sandre s 2.0: Development of Machine-learning Models To Explore the Scoring Function Sp ace)

    40-41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 from Alfenas, B razil, by NewsRx correspondents, research stated, “Classical scoringfunctions m ay exhibit low accuracy in determining ligand binding affinity for proteins. The availabilityof both protein-ligand structures and affinity data make it possib le to develop machine-learning modelsfocused on specific protein systems with s uperior predictive performance.”

    Reports Outline Robotics Findings from University of Central Florida (Unveiling the Human-robot Encounter: Guests’ Perspectives On Smart Hotel Experience)

    41-42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 Robotics is now availab le. According to news reporting originatingin Orlando, Florida, by NewsRx journ alists, research stated, “This study aims to investigate guests’experience and perceptions in smart hotels, with a primary focus on the human-robot experience. Design/methodology/approach - Utilizing a thematic analysis using the inductive -deductive approach, 546reviews from Chinese smart hospitality guests, sourced from Ctrip, were examined.”

    Findings in the Area of Intelligent Vehicles Reported from Chongqing University (Map-free Trajectory Prediction In Traffic With Multi-level Spatial-temporal Mod eling)

    42-43页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Transportatio n - Intelligent Vehicles. According to newsreporting originating from Chongqing , People’s Republic of China, by NewsRx correspondents, researchstated, “To han dle two shortcomings of existing methods, (i) nearly all models rely on the high -definition(HD) maps, yet the map information is not always available in real t raffic scenes since map-buildingis expensive and time-consuming and (ii) existi ng models usually improve prediction accuracy at theexpense of reducing computi ng efficiency, yet the efficiency is crucial for various real applications, thispaper proposes an efficient trajectory prediction model that is not dependent o n traffic maps. The coreidea of our model is to encode single-agent’s spatial-t emporal information in the first stage and exploremulti-agents’ spatial-tempora l interactions in the second stage.”

    Study Results from Institute of Biology & Medical Imaging Broaden Understanding of Psoriasis (Machine Learning Analysis of Human Skin By Optoacous tic Mesoscopy for Automated Extraction of Psoriasis and Aging Biomarkers)

    43-44页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Sk in Diseases and Conditions - Psoriasis. Accordingto news reporting originating from Neuherberg, Germany, by NewsRx correspondents, research stated,“Ultra-wide band raster-scan optoacoustic mesoscopy (RSOM) is a novel modality that has demo nstratedunprecedented ability to visualize epidermal and dermal structures in-v ivo. However, an automatic andquantitative analysis of three-dimensional RSOM d atasets remains unexplored.”

    Findings from Institute of Chemical Engineering Sciences in Machine Learning Rep orted (Calibration and Inter-Unit Consistency Assessment of an Electrochemical S ensor System Using Machine Learning)

    44-45页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news originatingfrom Patras, Greece, by N ewsRx correspondents, research stated, “This paper addresses the challenges ofc alibrating low-cost electrochemical sensor systems for air quality monitoring.”

    West China Hospital of Sichuan University Reports Findings in Squamous Cell Carc inoma (A machine learning radiomics based on enhanced computed tomography to pre dict neoadjuvant immunotherapy for resectable esophageal squamous cell carcinoma )

    45-46页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Squamous Ce ll Carcinoma is the subject of a report.According to news reporting originating from Chengdu, People’s Republic of China, by NewsRx correspondents,research st ated, “Patients with resectable esophageal squamous cell carcinoma (ESCC) receiv ingneoadjuvant immunotherapy (NIT) display variable treatment responses. The pu rpose of this study is toestablish and validate a radiomics based on enhanced c omputed tomography (CT) and combined withclinical data to predict the major pat hological response to NIT in ESCC patients.”

    Zhongyuan University of Technology Researchers Target Machine Learning (Peak det ection in intracranial pressure signal waveforms: a comparative study)

    46-47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 tonews reporting originating from Zhon gyuan University of Technology by NewsRx correspondents, researchstated, “The m onitoring and analysis of quasi-periodic biological signals such as electrocardi ography(ECG), intracranial pressure (ICP), and cerebral blood flow velocity (CB FV) waveforms plays an importantrole in the early detection of adverse patient events and contributes to improved care management in theintensive care unit (I CU). This work quantitatively evaluates existing computational frameworks for automatically extracting peaks within ICP waveforms.”

    Zhongda Hospital Affiliated to Southeast University Reports Findings in Machine Learning (Interpretable Machine Learning Models Based on Shapley Additive exPlan ations for Predicting the Risk of Cerebrospinal Fluid Leakage in Lumbar Fusion . ..)

    47-48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 out of Jiangsu, People’s Repu blic of China, by NewsRx editors, research stated, “Retrospectivestudy. The obj ective of this investigation was to formulate and internally verify a customized machinelearning (ML) framework for forecasting cerebrospinal fluid leakage (CS FL) in lumbar fusion surgery.”

    Researchers from Nanjing University of Posts and Telecommunications Report New S tudies and Findings in the Area of Machine Learning (Smartphone-based Indoor Loc alization Using Machine Learning and Multisource Information Fusion)

    48-49页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingfrom Nanjing, People’s Republic of China, by NewsRx journalists, research stated, “A two-phase smartphonelocalizat ion technique that uses received signal strength indicator (RSSI) fingerprints o f long termevolution (LTE) signal, Bluetooth signal, Wi-Fi signal and the inter nal camera sensor is proposed forindoor environments. It contains the following . 1) coarse localization: region determination by LTE andBluetooth signal and ( 2) refined localization: position estimation by camera image and Wi-Fi signal.”