查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Mental Health Diseases and Conditions - Anxiety Disorders is now available. According to news originati ng from Gainesville, Florida, by NewsRx correspondents, research stated, "The pu rpose of this study is to identify the potential biomechanical and cognitive wor kload effects induced by human robot collaborative pollination task, how additio nal cues and reliability of the robot influence these effects and whether intera cting with the robot influences the participant's anxiety and attitude towards r obots.Background Human-Robot Collaboration (HRC) could be used to alleviate poll inator shortages and robot performance issues. However, the effects of HRC for t his setting have not been investigated.Methods Sixteen participants were recruit ed."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Mosquito-Borne Disease s - Malaria is the subject of a report. According to news reporting from Dublin, Ireland, by NewsRx journalists, research stated, "Malaria is an extremely malig nant disease and is caused by the bites of infected female mosquitoes. This dise ase is not only infectious among humans, but among animals as well." The news correspondents obtained a quote from the research from University Colle ge Dublin, "Malaria causes mild symptoms like fever, headache, sweating and vomi ting, and muscle discomfort; severe symptoms include coma, seizures, and kidney failure. The timely identification of malaria parasites is a challenging and cha otic endeavor for health staff. An expert technician examines the schematic bloo d smears of infected red blood cells through a microscope. The conventional meth ods for identifying malaria are not efficient. Machine learning approaches are e ffective for simple classification challenges but not for complex tasks. Further more, machine learning involves rigorous feature engineering to train the model and detect patterns in the features. On the other hand, deep learning works well with complex tasks and automatically extracts low and high-level features from the images to detect disease. In this paper, EfficientNet, a deep learning-based approach for detecting Malaria, is proposed that uses red blood cell images. Ex periments are carried out and performance comparison is made with pre-trained de ep learning models. In addition, k-fold cross-validation is also used to substan tiate the results of the proposed approach."
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 originating from Edwardsville, Illinois, by NewsRx editors, the research stated, "Adverse childhood experiences (ACEs) inclu de a range of abusive, neglectful, and dysfunctional household behaviors that ar e strongly associated with long-term health problems, mental health conditions, and societal difficulties." Financial supporters for this research include National Science Foundation. The news journalists obtained a quote from the research from Southern Illinois U niversity Edwardsville: "The study aims to uncover significant factors influenci ng ACEs in children aged 0-17 years and to propose a predictive model that can b e used to forecast the likelihood of ACEs in children. Machine learning models a re applied to identify and analyze the relationships between several predictors and the occurrence of ACEs. Key performance metrics such as AUC, F1 score, recal l, and precision are used to evaluate the predictive strength of different facto rs on ACEs. Family structures, especially non-traditional forms such as single p arenting, and the frequency of relocating to a new address are determined as key predictors of ACEs. The final model, a neural network, achieved an AUC of 0.788 , a precision score of 0.683, and a recall of 0.707, indicating its effectivenes s in accurately identifying ACE cases. The model's ROC and PR curves showed a hi gh true positive rate for detecting children with two or more ACEs while also po inting to difficulties in classifying single ACE instances accurately."
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 reporting from Harbin, People's Republic of China, by NewsRx journalists, research stated, "When there are dynamic obstacle s in the environment, it is difficult for traditional path-generation algorithms to achieve desired obstacle-avoidance results." Financial supporters for this research include Key Special Projects of Heilongji ang Province's Key R &D Program. The news correspondents obtained a quote from the research from Harbin Institute of Technology: "To solve this problem, we propose a robot navigation control me thod based on SAC (Soft Actor-Critic) Deep Reinforcement Learning. Firstly, we u se a fast path-generation algorithm to control the robot to generate expert traj ectories when the robot encounters danger as well as when it approaches a target , and we combine SAC reinforcement learning with imitation learning based on exp ert trajectories to improve the safety of training. Then, for the hybrid data co nsisting of agent data and expert data, we use an improved prioritized experienc e replay method to improve the learning efficiency of the policies."
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 originating from Galway, Ireland, by NewsRx e ditors, the research stated, "Automated manufacturing facilities are governed by resilient control systems that need little or negligible human interaction." Our news editors obtained a quote from the research from College of Science and Engineering: "Broadly speaking, an industrial controller is responsible for tran smitting instructions to machinery in order to carry out a designated operation, while also receiving feedback data that enables it to oversee and ascertain the accurate implementation of those instructions. This article examines the severa l elements and software systems included in the control of industrial robots. Th is paper examines the significance of sensors, axis controllers, and actuators i n attaining accurate control over industrial robots. The use of industrial Ether net technology is emphasized as a viable approach to mitigate the issues associa ted with excessive wiring and interference."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Research findings on artificial intelligence are discussed in a new report. According to news reporting originating from Baghdad, Iraq, by NewsRx correspondents, research stated, "Facial expression recognition (FER) systems accurately identify facial expressions by extracting facial featu res." Our news journalists obtained a quote from the research from Al-Iraqia Universit y: "The extraction of robust facial features comes after automatic face detectio n in this procedure. On the FAR2013 dataset, a five-step system developed to ass ess the performance of machine learning algorithms. Components of the system inc lude preprocessing, feature extraction, model training and testing, classificati on, and evaluation. Three machine-learning algorithms utilized in this study: lo gistic regression (LR), random forest (RF), and AdaBoost (ADA). The RF algorithm achieved the highest degree of precision with a 61% success rate. The purpose of the study was to evaluate the performance of machine learning al gorithms on the FAR2013 dataset."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New study results on robotics have bee n published. According to news reporting originating from Chemnitz University of Technology by NewsRx correspondents, research stated, "Industrial robots (IR) a re a cost-effective and highly flexible alternative to machining centres." The news reporters obtained a quote from the research from Chemnitz University o f Technology: "Nevertheless, their use for separating processes in production te chnology is limited because of their low structural rigidity, which results in c omparatively low accuracies. The vibration behaviour of the robots is a major ch allenge to increasing accuracy, as it can vary significantly depending on the po sition of the tool centre point (TCP) in the workspace. To apply vibration compe nsation, it is necessary to be able to describe the vibration behaviour of the r obot with sufficient accuracy. This article presents a new approach, utilising p arametric FEM simulation to generate a state space description of the robot. The simulation captures the pose-dependent vibration behaviour of each axis, which is then integrated into a downstream system simulation, resulting in a comprehen sive description of the robot's vibration behaviour. After being finely tuned, t he model demonstrates excellent alignment with the experimentally determined beh aviour."
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 originating from Yancheng, People's Republic of China, by NewsRx correspondents, research stated, "Intelligent applepicking robots can significantly improve the efficiency of apple picking, and the realiz ation of fast and accurate recognition and localization of apples is the prerequ isite and foundation for the operation of picking robots. Existing apple recogni tion and localization methods primarily focus on object detection and semantic s egmentation techniques." The news reporters obtained a quote from the research from Yancheng Teachers Uni versity: "However, these methods often suffer from localization errors when faci ng occlusion and overlapping issues. Furthermore, the few instance segmentation methods are also inefficient and heavily dependent on detection results. Therefo re, this paper proposes an apple recognition and localization method based on RG B-D and an improved SOLOv2 instance segmentation approach. To improve the effici ency of the instance segmentation network, the EfficientNetV2 is employed as the feature extraction network, known for its high parameter efficiency. To enhance segmentation accuracy when apples are occluded or overlapping, a lightweight sp atial attention module is proposed. This module improves the model position sens itivity so that positional features can differentiate between overlapping object s when their semantic features are similar. To accurately determine the apple-pi cking points, an RGB-D-based apple localization method is introduced. Through co mparative experimental analysis, the improved SOLOv2 instance segmentation metho d has demonstrated remarkable performance. Compared to SOLOv2, the F1 score, mAP , and mIoU on the apple instance segmentation dataset have increased by 2.4, 3.6 , and 3.8%, respectively. Additionally, the model's Params and FLOP s have decreased by 1.94M and 31 GFLOPs, respectively."
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 artificial intelligence. According to news originating from Colby College by New sRx correspondents, research stated, "This study investigates how postsecondary learners employ generative AI, specifically ChatGPT, to support their self-direc ted learning (SDL) for writing purposes. Following a sequential mixed methods de sign, we analyzed 384 survey responses and 10 semi-structured interviews with po stsecondary writers." The news editors obtained a quote from the research from Colby College: "Finding s suggest that the major learning task that the learners used ChatGPT for writin g is brainstorming and seeking inspiration for ideas. While the entering motivat ion for using ChatGPT varies from curiosity about innovative technologies to ful filling academic requirements, such entering motivation transformed into task mo tivation when the learners perceived the potential benefits of ChatGPT for assis ting their writing. In terms of self-management, participants mostly demonstrate d a high responsibility towards their own learning with ChatGPT and employed var ious strategies for SDL. Although survey respondents demonstrated a comparativel y low level of self-monitoring, most interviewees claimed that they critically r eflected on their learning process and validated information provided by ChatGPT . There are mixed opinions regarding whether the writing skills have improved as a result of using ChatGPT. Some participants suggested that the benefits brough t by ChatGPT, such as alleviating social pressure and receiving instant feedback at any time, encouraged them to spend more time practicing writing and making r evisions."
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 Artificial In telligence have been published. According to news originating from Lappeenranta, Finland, by NewsRx correspondents, research stated, "The consumer Internet of T hings (IoT) applications in particular smart cities are mostly equipped with Int ernet-connected networked devices to improve city operations by giving access to a massive amount of valuable information. However, these smart devices in a sma rt city environment mostly use public channels to access and share data among di fferent participants." Our news journalists obtained a quote from the research from LUT University, "Th is has introduced a great interest in using authentication and key agreement (AK A) mechanisms and intrusion detection systems (IDS) based on artificial intellig ence (AI) techniques. However, most of the AKA mechanisms have high computation and communication costs and cannot be trusted completely. On the other hand, the AI-based IDS are treated as blackbox by the security analyst due to their inabi lity to explain the reasons behind the decision. In this direction, we have inte grated blockchain-based AKA mechanism with explainable artificial intelligence ( XAI) for securing smart city-based consumer applications. Specifically, first, t he participating entities communicate with each other in a secure manner to exch ange data using a blockchain-based AKA mechanism. On the other hand, we have use d SHapley Additive exPlanations (SHAP) mechanism to explain and interpret the pr ominent features that are most influential in the decision."
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