查看更多>>摘要：Data detailed on Machine Learning have been presented. According to news reporting out of Buffalo, New York, by NewsRx editors, research stated, “PyDarwin is an open-source Python package for nonlinear mixed-effect model selection. pyDarwin combines machine-learning algorithms and NONMEM to perform a global search for the optimal model in a user-defined model search space. Compared with traditional stepwise search, pyDarwin provides an efficient platform for conducting an objective, robust, less labor-intensive model selection process without compromising model interpretability.” Financial support for this research came from US Food & Drug Administration (FDA). Our news journalists obtained a quote from the research from the State University of New York (SUNY) Buffalo, “In this tutorial, we will begin by introducing the essential components and concepts within the package. Subsequently, we will provide an overview of the pyDarwin modeling workflow and the necessary files needed for model selection.”
查看更多>>摘要：New research on Dental Diseases and Conditions - Malocclusion is the subject of a report. According to news reporting out of Mugla, Turkey, by NewsRx editors, research stated, “Skeletal orthodontic deformities can have functional and aesthetic consequences, making early detection critical. This study aimed to address the issue of parents bringing their children for routine orthodontic checkups after the ideal treatment age has passed.” Our news journalists obtained a quote from the research from Mugla Sitki Kocman University, “To address this, we developed a mobile application that uses machine-learning to make a preliminary diagnosis of skeletal malocclusion using just one photograph. A retrospective study was conducted on 524 prepubertal children, aged between 5 and 12 years, to evaluate the accuracy of the machine learning based mobile application. The application detects multiple points in photographs taken from the mobile camera and generates a signal indicating the diagnosis of skeletal malocclusion. The final accuracy of the Class Ⅲ vs not Class Ⅲ model deployed to the mobile application was above 81%, indicating its ability to accurately identify skeletal malocclusion. On a separate validation dataset of 145 patients diagnosed by 5 different clinicians, the accuracy of Class Ⅱ vs Class I model was 69%; And pg 4, ln 61: as Class Ⅱ vs Class I with 69% accuracy. The application provides parents with important information about the orthodontic problem, age of treatment, and various treatment options. This enables parents to seek further advice from an orthodontist at an earlier stage and make informed decisions. However, the diagnosis should still be confirmed by an orthodontist.”
查看更多>>摘要：Data detailed on artificial intelligence have been presented. According to news reporting from Lublin, Poland, by NewsRx journalists, research stated, “The challenges currently faced by network operators are difficult and complex. Presently, various types of energy sources with random generation, energy storage units operating in charging or discharging mode and consumers with different operating characteristics are connected to the power grid.” The news editors obtained a quote from the research from Lublin University of Technology: “The network is being expanded and modernised. This contributes to the occurrence of various types of network operating states in practice. The appearance of a significant number of objects with random generation in the power system complicates the process of planning and controlling the operation of the power system. It is therefore necessary to constantly search for new methods and algorithms that allow operators to adapt to the changing operating conditions of the power grid. There are many different types of method in the literature, with varying effectiveness, that have been or are used in practice. So far, however, no one ideal, universal method or methodology has been invented that would enable (with equal effectiveness) all problems faced by the power system to be solved. This article presents an overview and a short description of research works available in the literature in which the authors have used modern methods to solve various problems in the field of power engineering. The article is an introduction to the special issue entitled * * Advances in the Application of Based on Artificial Intelligence and Optimisation in Power Engineering* *.”
查看更多>>摘要：Research findings on Robotics are discussed in a new report. According to news reporting originating in Genoa, Italy, by NewsRx journalists, research stated, “This paper discusses the theoretical analysis and the experimental validation of the step and stair climbing capability of wheeltrack- leg hybrid locomotion (WheTLHLoc), a small-scale hybrid locomotion robot with overall size of 450 x 350 x 130 mm and maximum payload of 0.5 kg. The architecture of this robot combines two tracks, two rotating legs, two actuated wheels, and two passive omni wheels.” The news reporters obtained a quote from the research from the University of Genoa, “The robot is capable of performing different locomotion modes: wheeled locomotion on flat and compact grounds with maximum speed of 0.9 m/s, tracked locomotion on soft and yielding terrains with maximum speed of 0.1 m/s, mixed use of tracks, legs, and wheels to overcome obstacles. In particular, the process of step and stair climbing is analyzed considering static stability and non-slipping conditions.”
查看更多>>摘要：New research on Paragangliomas is the subject of a report. According to news reporting originating in Nanchang, People’s Republic of China, by NewsRx journalists, research stated, “Using different machine learning models CT-based radiomics to integrate clinical radiological features to discriminating the risk stratification of pheochromocytoma/paragangliomas (PPGLs). The present study included 201 patients with PPGLs from three hospitals (training set: n = 125; external validation set: n = 45; external test set: n = 31).” The news reporters obtained a quote from the research from Nanchang University, “Patients were divided into low-risk and high-risk groups using a staging system for adrenal pheochromocytoma and paraganglioma (GAPP). We extracted and selected CT radiomics features, and built radiomics models using support vector machines (SVM), k-nearest neighbors, random forests, and multilayer perceptrons. Using receiver operating characteristic curve analysis to select the optimal radiomics model, a combined model was built using the output of the optimal radiomics model and clinical radiological features, and its accuracy and clinical applicability were evaluated using calibration curves and clinical decision curve analysis (DCA). Finally, 13 radiomics features were selected to construct machine learning models. In the radiomics model, the SVM model demonstrated higher accuracy and stability, with an AUC value of 0.915 in the training set, 0.846 in external validation set, and 0.857 in external test set. Combining the outputs of SVM models with two clinical radiological features, a combined model constructed has demonstrated optimal risk stratification ability for PPGLs with an AUC of 0.926 for the training set, 0.883 for the external validation set, and 0.899 for the external test set. The calibration curve and DCA show good calibration accuracy and clinical effectiveness for the combined model.”
查看更多>>摘要：Researchers detail new data in artificial intelligence. According to news originating from Jomo Kenyatta University of Agriculture and Technology by NewsRx correspondents, research stated, “Phishing performs by trying to trick the victim into accessing any computing information which looks original, then instructing them to send important data to unrestricted/unwanted privacy resource. For prevention, it is essential to develop a phishing detection system.” The news reporters obtained a quote from the research from Jomo Kenyatta University of Agriculture and Technology: “Recent phishing detection systems are based on data mining and machine learning techniques. Most of the related work literature require collection of previous phishing attack logs, analyze them and create a list of such activities and block traffic from such sources. But this is a cumbersome task because the data size is very large, continue changing and dynamic nature. [1]. Instead of using single algorithm approach it would be better to use a hybrid approach. A hybrid approach would be better at mitigating phishing attacks because classification of different format of data is handled; whether the intruder want to use images or textural input to gain into another user system for phishing. Hybrid recommendation decision tress enhances any of machine learning and deep learning algorithms performance. The decision path of the model followed a series of if/else/then statements that connect the predicted class from the root of the tree through the branches of the tree to detect true positive and false negatives of phishing attempts.”
查看更多>>摘要：Investigators discuss new findings in robotics. According to news originating from Hanoi, Vietnam, by NewsRx correspondents, research stated, “This study provides simulation and experimental results on techniques for avoiding static and dynamic obstacles using a deep Q-learning (DQL) reinforcement learning algorithm for a two-wheel mobile robot with independent control.” The news editors obtained a quote from the research from University of Transport and Communications: “This method integrates the Q-learning (QL) algorithm with a neural network, where the neural networks in the DQL algorithm act as approximators for the Q matrix table for each pair (state-action). The effectiveness of the proposed solution was confirmed through simulations, programming, and practical experimentation. A comparison was drawn between the DQL algorithm and the QL algorithm. Initially, the mobile robot was connected to the control script using the Robot Operating System (ROS). The mobile robot was programmed in Python within the ROS operating system, and the DQL controller was programmed in Gazebo software. The mobile robot underwent testing in a workshop with various experimental scenarios considered.”
查看更多>>摘要：New research on robotics is the subject of a new report. According to news originating from Shandong Technology and Business University by NewsRx correspondents, research stated, “With the gradual development of artificial intelligence, the hotel has fully applied robot services in the daily operation of the hotel.” Our news journalists obtained a quote from the research from Shandong Technology and Business University: “Robot services can help guests quickly self-check-in, room delivery and contactless delivery of takeout, greatly enhancing the customer’s hotel experience. This paper specifically consulted literature to comprehensively understand the relevant knowledge of hotel robot service and customer satisfaction, and then used network text analysis to capture a large number of hotel customer reviews of JI Hotel, and through further data processing and analysis, understood the initial impression of customers on service robots. According to the problems existing in the robot service of the JI Hotel, the reasonable and easy to use customer satisfaction improvement strategies and suggestions are summarized.”
查看更多>>摘要：Investigators publish new report on robotics. According to news reporting out of Wenzhou, People’s Republic of China, by NewsRx editors, research stated, “In order to address the timeconsuming and labor-intensive challenges as well as the suboptimal operational quality encountered in the conventional processes of fruit bagging within expansive orchards, an innovative end-of-bagging actuator is proposed, which can be installed on a fruit-production robot. Due to the excessive power sources required to complete the bagging operation, while also taking into account the quality and cost of the end effector, we have implemented a clutch transmission system to control individual motors, thereby achieving efficient bag-opening and collection actions.” Financial supporters for this research include Wenzhou Municipal Key Science And Research Program; The Key R&D Project of Zhejiang Province.
查看更多>>摘要：Investigators discuss new findings in Robotics. According to news reporting originating from Hefei, People’s Republic of China, by NewsRx correspondents, research stated, “Tactile sensing is essential for robotic manipulations and human-machine interactions. It is vital to provide contact location and force information between the robotic gripper and objects for safe and effective operation.” Financial support for this research came from National Natural Science Foundation of China (NSFC). Our news editors obtained a quote from the research from the University of Science and Technology China, “Many existing tactile sensors deploy an array of sensing units for pressure mapping and contact location recognition. However, it is still challenging to utilize such array sensors in robotic grippers for real-world applications due to the complex wiring and electronics, high cost, and low reliability. In this work, we propose a nonarray soft tactile sensor (NA-STS) that utilizes two triangle textile electrodes and a rectangle electrode to form a pair of soft capacitive pressure sensors in a differential configuration along its length. The sum of the two capacitance variations represents the amplitude of the force, whereas the difference between them represents the contact location. A three-layer electrode, shielded soft tactile sensor with dimensions of 12 x 60 mm was fabricated, characterized, and calibrated for simultaneous contact force and location measurement. The results show that the sensor can detect the force as low as 2.1 mN, with a range over 25 N, and a maximum error of 2.5 mm for contact location detection. In addition, the key design parameters of the NA-STS were investigated. Finally, two NA-STSs were integrated into a robotic gripper and demonstrated for monitoring the contact force and location during the gripping of various objects.”
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