首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    Data on Robotics Reported by Researchers at University of Birmingham (Robotic Di sassembly for End-of-life Products Focusing On Task and Motion Planning: a Compr ehensive Survey)

    144-145页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news originatingfrom Birmingham, United Kingdom, by NewsRx correspondents, research stated, “The rise of mass productionand the re sulting accumulation of end-of-life (EoL) products present a growing challenge i n wastemanagement and highlight the need for efficient resource recovery. In re sponse to this challenge, roboticdisassembly has emerged as a vital tool for th e circular economy.”

    New Machine Learning Study Findings Recently Were Reported by Researchers at Pol ytechnique Montreal (Survey On Explainable Ai: Techniques, Challenges and Open I ssues)

    145-145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. According to news reporting outof Montreal, Canada, by NewsRx editor s, research stated, “Artificial Intelligence (AI) has become animportant compon ent of many software applications. It has reached a point where it can provide c omplexand critical decisions in our life.”

    Study Findings on Robotics Are Outlined in Reports from Xijing University (Therm al Environment Simulation and Product Visual Design of Flexible Manufacturing Sy stem Based On Robot Collaboration)

    146-146页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reportingoriginating from Shaanxi, People’s Re public of China, by NewsRx correspondents, research stated, “Withthe rapid deve lopment of intelligent manufacturing, the application of flexible manufacturing systems(FMS) is becoming increasingly widespread in diverse production environm ents. This article aims toexplore the thermal environment simulation and produc t visual design of flexible manufacturing systemsbased on robot collaboration, in response to the thermal environment problems faced in the manufacturingproce ss.”

    New Findings Reported from Zhengzhou University Describe Advances in Machine Lea rning (Machine Learning Based Multiobjective Optimization On Shear Behavior of the Inter-module Connection)

    147-148页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Data detailed on Machine Learning have been prese nted. According to news reporting fromZhengzhou, People’s Republic of China, by NewsRx journalists, research stated, “Prefabricated prefinishedvolumetric cons truction (PPVC) has become a research hotspot in recent years. Intermodule conne ctionshave a crucial influence on the mechanical behavior of PPVC.”

    Studies from Chandigarh University in the Area of Machine Learning Described (Pt /zno and Pt/few-layer Graphene/zno Schottky Devices With Al Ohmic Contacts Using Atlas Simulation and Machine Learning)

    148-149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 Machine Learning is now available. According to news reportingoriginating in Punjab, India, by NewsRx journalists, research stated, “The search for highly efficient photodetectors,d riven by various applications ranging from environmental monitoring to communica tionsystems and imaging, continues to drive research into novel materials and i nnovative device architectures.This paper offers an in-depth comparative analys is to optimize the performance of two types of Schottkyultraviolet (UV) photode tectors: platinum (Pt)/zinc oxide (ZnO) and Pt/few-layer graphene (FLG)/ZnO,bot h featuring aluminum (Al) ohmic contacts.”

    Capital Medical University School of Rehabilitation Medicine Reports Findings in Autism Spectrum Disorders (Wearable EEG Neurofeedback Based-on Machine Learning Algorithms for Children with Autism: A Randomized, Placebo-controlled Study)

    149-150页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Developmental Diseases and Condit ions - Autism Spectrum Disorders is thesubject of a report. According to news r eporting out of Beijing, People’s Republic of China, by NewsRxeditors, research stated, “Behavioral interventions have been shown to ameliorate the electroence phalogram(EEG) dynamics underlying the behavioral symptoms of autism spectrum d isorder (ASD), while studieshave also demonstrated that mirror neuron mu rhythm -based EEG neurofeedback training improves thebehavioral functioning of individ uals with ASD. This study aimed to test the effects of a wearable murhythm neur ofeedback training system based on machine learning algorithms for children with autism.”

    Reports from Andhra Pradesh Add New Data to Research in Machine Learning (Multi- Objective Optimization Algorithm Based Bidirectional Long Short Term Memory Netw ork Model for Optimum Sizing of Distributed Generators and Shunt Capacitors for …)

    150-151页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in artificial intelli gence. According to news reporting out of AndhraPradesh, India, by NewsRx edito rs, research stated, “In this paper, a multi-objective grey wolf optimization(G WO) algorithm based Bidirectional Long Short Term Memory (BiLSTM) network machin e learning(ML) model is proposed for finding the optimum sizing of distributed generators (DGs) and shunt capacitors(SHCs) to enhance the performance of distr ibution systems at any desired load factor.”

    Studies from University of Malaysia Terengganu in the Area of Machine Learning R eported (A Critical Analysis of Machine Learning In Ship, Offshore, and Oil & Gas Corrosion Research, Part Ⅰ: Corrosion Detection and Classification)

    151-152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 Machine Learning. According to news reportingout of Terengganu, Malaysia, by Ne wsRx editors, research stated, “Corrosion poses a significant threat tothe inte grity and longevity of ship, offshore, and oil & gas structures, r esulting in substantial economiclosses, environmental hazards, and safety conce rns. In recent years, machine learning (ML) has emergedas a promising tool for corrosion analysis in maritime industry.”

    Findings from Technical University Munich (TU Munich) Update Understanding of Ro botics (Advancing Construction In Existing Contexts: Prospects and Barriers of 3 d Printing With Mobile Robots for Building Maintenance and Repair)

    152-153页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Robotics are presented i n a new report. According to news reporting outof Munich, Germany, by NewsRx ed itors, research stated, “Mobile robots for 3D printing applications areready to transition from factory floors to building sites. Their remarkable flexibility and adaptability supporta variety of deposition-based 3D printing technologies that utilise materials ranging from concrete and earthfor extrusion, spraying, or shotcreting to metals for processes like Wire Arc Additive Manufacturing.”

    Researcher from Southwest University of Science and Technology Reports Details o f New Studies and Findings in the Area of Robotics (State Estimation for Quadrup ed Robots on Non-Stationary Terrain via Invariant Extended Kalman Filter and … )

    153-154页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on robotics are presented i n a new report. According to news reportingfrom Mianyang, People’s Republic of China, by NewsRx journalists, research stated, “Quadruped robotspossess signifi cant mobility in complex and uneven terrains due to their outstanding stability and flexibility,making them highly suitable in rescue missions, environmental m onitoring, and smart agriculture.”