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 Robotic s and Machine Learning. According to news originating from Zigong, People’s Repu blic of China, by NewsRx correspondents, research stated, “To address the challe nges posed by chemical methods for detecting pesticide residues in sorghum, such as complicated sample preparation and prolonged detection periods, this study p resents a rapid and nondestructive detection approach based on hyperspectral ima ging (HSI) technology. A group of sorghum without pesticide residues and three g roups uniformly sprayed with pesticides were used in this study.” Financial supporters for this research include Liquor Making Biological Technolo gy and Application of Key Laboratory of Sichuan Province, Sichuan Science and Te chnology Program.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on robotics is the subjec t of a new report. According to news originating from Nagoya, Japan, by NewsRx e ditors, the research stated, “Force-feedback devices enhance task performance in most robot teleoperations. However, their increased size with additional degree s of freedom can limit the robot’s applicability.” Funders for this research include Jst Sicorp. Our news journalists obtained a quote from the research from Nagoya University: “To address this, an interface that visually presents force feedback is proposed , eliminating the need for bulky physical devices. Our telepresence system rende rs robotic hands transparent in the camera image while displaying virtual hands. The forces applied to the robot deform these virtual hands. The deformation cre ates an illusion that the operator’s hands are deforming, thus providing pseudo- haptic feedback. We conducted a weight comparison experiment in a virtual realit y environment to evaluate force sensitivity. In addition, we conducted an object touch experiment to assess the speed of contact detection in a robot teleoperat ion setting. The results demonstrate that our method significantly surpasses con ventional pseudo-haptic feedback in conveying force differences. Operators detec ted object touch 24.7% faster using virtual hand deformation compa red to conditions without feedback.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating in Halmstad, Swed en, by NewsRx journalists, research stated, “Satellite imagery is a potent tool for estimating human wealth and poverty, especially in regions lacking reliable data. This study compares a range of poverty estimation approaches from satellit e images, spanning from expert-based to fully machine learning-based methodologi es.” Financial support for this research came from Halmstad University.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics have been pr esented. According to news originating from Heilongjiang, People’s Republic of C hina, by NewsRx correspondents, research stated, “The steam generator plays a cr ucial role as a safety component and protective barrier in nuclear power plants. Regular inspection and repair of heat transfer tubes, which operate in high-tem perature, high-pressure, corrosive, and abrasive environments for extended perio ds, are essential.” Financial support for this research came from National Key Research & Development Program of China.
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 new report. According to news originating from Cuenca, Ecu ador, by NewsRx editors, the research stated, “Microgrids have emerged as a key element in the transition towards sustainable and resilient energy systems by in tegrating renewable sources and enabling decentralized energy management.” The news reporters obtained a quote from the research from University of Cuenca: “This systematic review, conducted using the PRISMA methodology, analyzed 74 pe er-reviewed articles from a total of 4205 studies published between 2014 and 202 4. This review examines critical areas such as reinforcement learning, multi-age nt systems, predictive modeling, energy storage, and optimization algorithms-ess ential for improving microgrid efficiency and reliability. Emerging technologies like artificial intelligence (AI), the Internet of Things, and flexible power e lectronics are highlighted for enhancing energy management and operational perfo rmance.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on robotics are disc ussed in a new report. According to news originating from Selangor, Malaysia, by NewsRx editors, the research stated, “This study researches the usage of YOLOv4 for real-time loose fruit detection in oil palm plantations as the first step i n implementing automation in the collection of loose fruits. Our system leverage s high-resolution video data (4K and 1080p) from various plantation settings.” Financial supporters for this research include Malaysian Palm Oil Board; Univers iti Putra Malaysia Research Grant.
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 ar tificial intelligence. According to news reporting out of Andhra Pradesh, India, by NewsRx editors, research stated, “Effort estimations are a crucial aspect of software development. The tasks should be completed before the start of any sof tware project.” Funders for this research include Deanship of Scientific Research At Majmaah Uni versity. Our news reporters obtained a quote from the research from Aditya Institute of T echnology and Management: “Accurate estimations increase the chances of project success, and inaccurate information can lead to severe issues. This study system atically reviewed the literature on effort-estimating models from 2015-2024, ide ntifying 69 relevant studies from various publications to compile information on various software work estimation models. This review aims to analyze the models proposed in the literature and their classification, the metrics used for accur acy measurement, the leading model that has been chiefly applied for effort esti mation, and the benchmark datasets available. The study utilized 542 relevant ar ticles on software development, cost, effort, prediction, estimation, and modell ing techniques in the search strategy. After 194 selections, the authors chose 6 9 articles to understand ML applications in SEE comprehensively. The researchers used a scoring system to assess each study’s responses (from 0 to 5 points) to their research questions. This helped them identify credible studies with higher scores for a comprehensive review aligned with its objectives. The data extract ion process identified 91% (63) of 69 studies as either highly or somewhat relevant, demonstrating a successful search strategy for analysis. The literature review on SEE indicates a growing preference for ML-based models in 5 9% of selected studies. 17% of the studies chosen fa vor hybrid models to overcome software development challenges. We qualitatively analyzed all the literature on software effort estimation using expert judgment, formal estimation techniques, ML-based techniques, and hybrid techniques. We di scovered that researchers have frequently used ML-based models to estimate softw are effort and are currently in the lead.”
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 artific ial intelligence. According to news reporting from Harbin, People’s Republic of China, by NewsRx journalists, research stated, “To address the problem of predic ting machining quality for critical features in the manufacturing process of mec hanical products, a method that combines information entropy and XGBoost (versio n 2.1.1) hyperparameter optimization is proposed.” Financial supporters for this research include Ministry of Industry And Informat ion Technology (Miit) of The People’s Republic of China.
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 ar tificial intelligence. According to news reporting originating from Fayetteville , North Carolina, by NewsRx correspondents, research stated, “This study illustr ates how artificial intelligence can be used to conduct basic medical research.” The news editors obtained a quote from the research from Fayetteville State Univ ersity: “Microsoft Copilot was the chatbot used to conduct the study. The study searched for examples where either tai chi or qigong have been used to treat can cer patients. The study was successful, in that all the items found were to good , professional studies that were published in medical journals.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Artificial Intelligence is the su bject of a report. According to news reporting originating in Hunan, People’s Re public of China, by NewsRx journalists, research stated, “In this research paper , we explored the predictive capabilities of three different models of Polynomia l Regression (PR), Extreme Gradient Boosting (XGB), and LASSO to estimate the de nsity of supercritical carbon dioxide (SC-CO) and the solubility of niflumic aci d as functions of the input variables of temperature and pressure. The optimizat ion of hyperparameters for these models is achieved using the innovative Barnacl es Mating Optimizer (BMO) algorithm.”
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