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    Recent Findings from IDIAP Research Institute Has Provided New Information about Robotics (Whole-body Ergodic Exploration With a Manipulator Using Diffusion)

    38-39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 Robotics have been published. According to news reporting from Martigny, Switzerland, by News Rx journalists, research stated, "This letter presents a whole-body robot contro l method for exploring and probing a given region of interest. The ergodic contr ol formalism behind such an exploration behavior consists of matching the time-a veraged statistics of a robot trajectory with the spatial statistics of the targ et distribution." Funders for this research include State Secretariat for Education, Research and Innovation in Switzerland, SESTOSENSO project.
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    Guangdong University of Science and Technology Researcher Has Published New Stud y Findings on Robotics (Mechanical Structure Design of Wearable Assistive Robot Driven by ADAMS System)

    39-39页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in robotics. According to news originating from Dongguan, People's Republic of Chin a, by NewsRx correspondents, research stated, "Currently wearable assistive robo t has been widely researched and applied in many fields. Aiming at the problems of difficult and time-consuming handling of goods, a wearable assistive robot us ing automatic dynamic analysis of mechanical systems is designed." Funders for this research include Guangdong University of Science And Technology Mechanical Design, Manufacturing And Automation Course Ideological And Politica l Demonstration Major. The news reporters obtained a quote from the research from Guangdong University of Science and Technology: "The robot is assisted by robot operating system. The robot uses robot operating system to assist the automatic dynamic analysis of m echanical systems system, and the mechanical structure of the robot is analyzed and designed. Then the robot structure is simulated and analyzed by the software to explore the practical application of the robot. The results of the study ind icated that the height of the robot's air drive affected the effectiveness of th e robot's application. The angle of the robot could reach 36.2° at 0mm height, 5 3.6° at 50mm and 66.7° at 100mm. At the same time, the maximum force of the robo t's stand could reach 191.5N. The amount of robot's assisting force varied in di fferent handling goods. The actual force applied by the robot varied in differen t arm positions. However, the actual structural design of the robot is in line w ith the actual application effect."
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    Superior University Researcher Publishes New Studies and Findings in the Area of Machine Learning (Zero-Shot Learning for Accurate Project Duration Prediction i n Crowdsourcing Software Development)

    40-40页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on artificial intelligen ce have been presented. According to news originating from Lahore, Pakistan, by NewsRx correspondents, research stated, "Crowdsourcing Software Development (CSD ) platforms, i.e., TopCoder, function as intermediaries connecting clients with developers." The news editors obtained a quote from the research from Superior University: "D espite employing systematic methodologies, these platforms frequently encounter high task abandonment rates, with approximately 19% of projects fa iling to meet satisfactory outcomes. Although existing research has focused on t ask scheduling, developer recommendations, and reward mechanisms, there has been insufficient attention to the support of platform moderators, or copilots, who are essential to project success. A critical responsibility of copilots is estim ating project duration; however, manual predictions often lead to inconsistencie s and delays. This paper introduces an innovative machine learning approach desi gned to automate the prediction of project duration on CSD platforms. Utilizing historical data from TopCoder, the proposed method extracts pertinent project at tributes and preprocesses textual data through Natural Language Processing (NLP) . Bidirectional Encoder Representations from Transformers (BERT) are employed to convert textual information into vectors, which are then analyzed using various machine learning algorithms."
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    New Machine Learning Findings Has Been Reported by Investigators at University o f Manitoba (A Review On Potato Crop Yield and Nitrogen Management Utilizing Remo te/proximal Sensing Technologies and Machine Learning Models In Canada)

    41-41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 Machine Learn ing have been published. According to news reporting from Winnipeg, Canada, by N ewsRx journalists, research stated, "Potatoes are a vital part of our diet world wide, but their cultivation poses challenges due to environmental impacts from t raditional farming methods. Precision agriculture offers a promising solution by managing variability in crop growth and reducing environmental disturbance." Financial supporters for this research include Mathematics of Information Techno logy and Complex Systems (Mitacs), KeyStone Potato Production Association (KPPA) in Manitoba. The news correspondents obtained a quote from the research from the University o f Manitoba, "Remote sensing technologies have become crucial for monitoring crop s and field dynamics more efficiently. In potato farming, the use of remote and proximal sensing technologies facilitates the prediction of yields and nutrient levels. This capability allows farmers to pinpoint the spatiotemporal variations in yields and nutrients, allowing them to make precise management decisions for each specific area of their fields. It is also valuable for monitoring nitrogen levels in plants during the growing season. This helps farmers apply the right amount of fertilizer at the right time, optimizing yields without affecting the environmental quality. While still evolving, remote sensing transforms potato fa rming by providing detailed, non-invasive insights that can enhance productivity and sustainability. Research into different technologies and machine learning m odels for potato farming in Canada has been largely confined to a few provinces. "
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    New Findings Reported from Polytechnic University of Madrid Describe Advances in Machine Learning (Estimation of Distribution Algorithms In Machine Learning: a Survey)

    42-42页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Investigators publish new report on Machine Learn ing. According to news reporting from Madrid, Spain, by NewsRx journalists, rese arch stated, "The automatic induction of machine learning models capable of addr essing supervised learning, feature selection, clustering, and reinforcement lea rning problems requires sophisticated intelligent search procedures. These searc hes are usually performed in the possible model structure spaces, leading to com binatorial optimization problems, and in the parameter spaces, where it is neces sary to solve continuous optimization problems." Funders for this research include Spanish Government, ELLIS Unit Madrid by the A utonomous Region of Madrid.
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    Researchers from Dalian University Report on Findings in Computational Intellige nce (Multilevel Joint Association Networks for Diverse Human Motion Prediction)

    43-43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 - Compu tational Intelligence are presented in a new report. According to news reporting from Dalian, People's Republic of China, by NewsRx journalists, research stated , "Predicting accurate and diverse human motion presents a challenging task due to the complexity and uncertainty of future human motion. Existing works have ex plored sampling techniques and body modeling approaches to enhance diversity whi le maintaining the accuracy of human motion prediction." Funders for this research include National Natural Science Foundation of China ( NSFC), Program for Innovative Research Team in University of Liaoning Province, Support Plan for Key Field Innovation Team of Dalian, Support Plan for Leading I nnovation Team of Dalian University, Dalian major projects of basic research, Pr ogram for Liaoning Province Doctoral Research Starting Fund.
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    New Robotics Findings from Nazarbayev University Reported (Design and Implementa tion of a Mobile Robot With Variable-diameter Wheels)

    44-44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 Robotics are presented i n a new report. According to news originating from Astana, Kazakhstan, by NewsRx correspondents, research stated, "Optimal wheel size selection in mobile robots is pivotal in addressing the challenges posed by varying surfaces, navigating c omplex environments, ensuring stability, and optimizing energy consumption. Targ eting this key feature, this article introduces the improbability roller, a mobi le robot with two variable-diameter wheels designed to illustrate the significan ce of wheel size in achieving adaptability and enhancing overall traversability capabilities." Financial supporters for this research include Nazarbayev University, ISSAI. Our news journalists obtained a quote from the research from Nazarbayev Universi ty, "The uniqueness of the robot lies in its dynamic ability to adjust the wheel diameter, a mechanism that empowers it to seamlessly switch between different t errains and tasks, by utilizing only three actuators to drive forward/backward, steer, and change the wheel diameters independently. This study not only present s the design of the robot, but also delves into the development of a kinematic m odel, an open-loop control strategy, and an extensive series of experiments aime d at validating its performance."
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    First Affiliated Hospital of Chongqing Medical University Reports Findings in Li ver Failure (Portal Vein Arterialization as a Lifesaving Strategy for Hepatic Ar tery Injury in Robotic Hepatectomy)

    45-46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 Liver Diseases and Con ditions - Liver Failure is the subject of a report. According to news reporting from Chongqing, People's Republic of China, by NewsRx journalists, research stat ed, "Robotic vascular resection and reconstruction is a challenging procedure. P ortal vein arterialization (PVA) can offer an efficient solution in those cases in which the hepatic artery cannot be reconstructed.1.Can J Surg 64:e173-e182;2. The Paul Brousse Hospital Experience." The news correspondents obtained a quote from the research from the First Affili ated Hospital of Chongqing Medical University, "HPB (Oxford) 16:723-738;3.J Am C oll Surg 207:e1-6; PVA increases oxygen supply to the remaining part of the live r, promotes liver regeneration, and prevents liver failure. Majlesara A, Golriz M , Ramouz A, et al. Portal vein arterialization as a salvage method in advanced h epatopancreatobiliary surgery. Br J Surg. 2024;111. In this multimedia article, we describe a patient who was treated with PVA for a robotic hepatic artery inju ry during robotic left-liver-first anterior radical modular orthotopic right hem ihepatectomy (Rob-Larmorth).5.Ann Surg Oncol 31:5636-5637 METHODS: A 52-year-old male patient was admitted with epigastric pain. Further imaging showed intrahep atic cholangiocarcinoma involving the root of the right anterior branch of the p ortal vein. Following multidisciplinary consultation, surgical resection was rec ommended as the primary approach. The robotic technique was chosen in this opera tion, with preoperative anticipation of needing Rob-Larmorth. Unfortunately, the left hepatic artery sustained unintended damage during skeletonization of the d uodenal ligaments. Anastomosis could not be performed due to severe damage to th e distal end intima. We utilized PVA technology to anastomose the hepatic artery to the portal vein. Finally, Rob-Larmorth and PVA were successfully performed. The surgery took 490 min and the estimated blood loss was approximately 300 mL. No blood transfusion was performed. Postoperatively, the patient recovered smoot hly without liver failure, although percutaneous drainage was required due to bi le leakage. Pathological examination revealed moderately to poorly differentiate d bile duct cell carcinoma (T2N0M0, stage II). No recurrence was observed during the 12-month follow-up. PVA can be an effective solution when no other revascul arization options are available. Implementing PVA as a bridging procedure increa ses oxygen delivery to the remnant liver, facilitating regeneration and reducing the risk of liver failure. The development of arterial collaterals is a signifi cant concern for individuals undergoing PVA. Complications reported after PVA in clude early shunt thrombosis, portal hypertension, and a notable 90-day mortalit y rate.1.Can J Surg 64:e173-e182 However, Majlesara and colleagues found no evid ence of postoperative liver damage associated with PVA. They also reported low m orbidity rates and no associated mortality for both one- and two-stage embolizat ion of the arterioportal shunt.Majlesara A, Golriz M, Ramouz A, et al. Portal ve in arterialization as a salvage method in advanced hepatopancreatobiliary surger y. Br J Surg. 2024;111."
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    Institute for Systems and Computer Engineering Reports Findings in Robotics (Dee p learning based approach for actinidia flower detection and gender assessment)

    46-47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 Robotics is the subjec t of a report. According to news originating from Porto, Portugal, by NewsRx cor respondents, research stated, "Pollination is critical for crop development, esp ecially those essential for subsistence. This study addresses the pollination ch allenges faced by Actinidia, a dioecious plant characterized by female and male flowers on separate plants." Our news journalists obtained a quote from the research from Institute for Syste ms and Computer Engineering, "Despite the high protein content of pollen, the ab sence of nectar in kiwifruit flowers poses difficulties in attracting pollinator s. Consequently, there is a growing interest in using artificial intelligence an d robotic solutions to enable pollination even in unfavourable conditions. These robotic solutions must be able to accurately detect flowers and discern their g enders for precise pollination operations. Specifically, upon identifying female Actinidia flowers, the robotic system should approach the stigma to release pol len, while male Actinidia flowers should target the anthers to collect pollen. W e identified two primary research gaps: (1) the lack of gender-based flower dete ction methods and (2) the underutilisation of contemporary deep learning models in this domain. To address these gaps, we evaluated the performance of four pret rained models (YOLOv8, YOLOv5, RT-DETR and DETR) in detecting and determining th e gender of Actinidia flowers. We outlined a comprehensive methodology and devel oped a dataset of manually annotated flowers categorized into two classes based on gender. Our evaluation utilised k-fold cross-validation to rigorously test mo del performance across diverse subsets of the dataset, addressing the limitation s of conventional data splitting methods. DETR provided the most balanced overal l performance, achieving precision, recall, F1 score and mAP of 89% , 97%, 93% and 94%, respectively, highli ghting its robustness in managing complex detection tasks under varying conditio ns."
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    Baskent University Reports Findings in Artificial Intelligence [Development trends and knowledge framework of artificial intelligence (AI) appli cations in oncology by years: a bibliometric analysis from 1992 to 2022]

    47-48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 from Ankar a, Turkey, by NewsRx correspondents, research stated, "Oncology is the primary f ield in medicine with a high rate of artificial intelligence (AI) use. Thus, thi s study aimed to investigate the trends of AI in oncology, evaluating the biblio graphic characteristics of articles." Financial support for this research came from Turkiye Bilimsel ve Teknolojik Ara stirma Kurumu. Our news editors obtained a quote from the research from Baskent University, "We evaluated the related research on the knowledge framework of Artificial Intelli gence (AI) applications in Oncology through bibliometrics analysis and explored the research hotspots and current status from 1992 to 2022. The research employe d a scientometric methodology and leveraged scientific visualization tools such as Bibliometrix R Package Software, VOSviewer, and Litmaps for comprehensive dat a analysis. Scientific AI-related publications in oncology were retrieved from t he Web of Science (WoS) and InCites from 1992 to 2022. A total of 7,815 articles authored by 35,098 authors and published in 1,492 journals were included in the final analysis. The most prolific authors were Esteva A (citaition = 5,821) and Gillies RJ (citaition = 4288). The most active institutions were the Chinese Ac ademy of Science and Harward University. The leading journals were Frontiers in Oncology and Scientific Reports. The most Frequent Author Keywords are ‘machine learning', ‘deep learning,' ‘radiomics', ‘breast cancer', ‘melanoma' and ‘artifi cial intelligence,' which are the research hotspots in this field. A total of 10 ,866 Authors' keywords were investigated. The average number of citations per do cument is 23. After 2015, the number of publications proliferated. The investiga tion of Artificial Intelligence (AI) applications in the field of Oncology is st ill in its early phases especially for genomics, proteomics, and clinicomics, wi th extensive studies focused on biology, diagnosis, treatment, and cancer risk a ssessment. This bibliometric analysis offered valuable perspectives into AI's ro le in Oncology research, shedding light on emerging research paths. Notably, a s ignificant portion of these publications originated from developed nations."
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