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 neural computation. According to news originating from New York City, New York, by NewsRx editors, the research stated, “Normative models of synaptic plasticity use computational rationales to arrive at predictions of behavioral and network -level adaptive phenomena.” The news correspondents obtained a quote from the research from New York Univers ity (NYU): “In recent years, there has been an explosion of theoretical work in this realm, but experimental confirmation remains limited. In this review, we or ganize work on normative plasticity models in terms of a set of desiderata that, when satisfied, are designed to ensure that a given model demonstrates a clear link between plasticity and adaptive behavior, is consistent with known biologic al evidence about neural plasticity and yields specific testable predictions. As a prototype, we include a detailed analysis of the REINFORCE algorithm.”
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 - Robotics a nd Automation have been presented. According to news reporting originating in Pa ris, France, by NewsRx journalists, research stated, “LiDAR is an essential sens or for autonomous driving by collecting precise geometric information regarding a scene. As the performance of various LiDAR perception tasks has improved, gene ralizations to new environments and sensors has emerged to test these optimized models in real-world conditions.”
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 originating from Oum El Bouaghi, Alge ria, by NewsRx correspondents, research stated, “The lack of soil erosion data a nd other information about watersheds continues to limit soil erosion modeling. To overcome these limitations, many researchers have turned to machine learning models to analyze and model the complex water erosion processes and integrate th em with empirical models.” Our news journalists obtained a quote from the research from the University of L arbi Ben MHidi, “The Beni Haroun dam watershed faces soil erosion due to specifi c geo-environmental settings and land practices. It poses serious threats to agr icultural and natural resource development. For these reasons, this study attemp ts to identify soil erosion susceptible zones using the Revised Universal Soil L oss Equation (RUSLE) using five key factors (rainfall erosivity, soil erodibilit y, topography, cover management and conservation practice factor) in GIS environ ment. Furthermore, we integrated the five RUSLE parameters and the model outputs into two machine learning (ML) algorithms, namely Random Forest (RF) and Random Tree (RT). The proposed models underwent training on 70% of the d ataset and were subsequently validated on the remaining 30%. Our re sults indicated that the most vulnerable to severe soil erosion was concentrated in northwest regions, in contrast to the southeastern regions, which most occup y low erosion and moderate erosion. RUSLE and RT-based RUSLE models yielded near ly identical results in classifying erosion severity,estimating the annual aver age soil erosion at 17.5 and 17.69 (t ha-1y-1), respectively. In contrast, the R andom Forest RF-based RUSLE model presented slightly divergent findings 23.89 (t ha-1y-1).”
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 out of Shenyang, People’s Republi c of China, by NewsRx editors, research stated, “As important auxiliary equipmen t, rehabilitation robots are widely used in rehabilitation treatment and daily l ife assistance.” Financial supporters for this research include Changlong Ye. The news journalists obtained a quote from the research from Shenyang Aerospace University: “The rehabilitation robot proposed in this paper is mainly composed of an omnidirectional mobile platform module, a lower limb exoskeleton module, a nd a support module. According to the characteristics of the robot’s omnidirecti onal mobility and good stiffness, the overall kinematic model of the robot is es tablished using the analytical method. Passive and active training control strat egies for an omnidirectional mobile lower limb exoskeleton robot are proposed. T he passive training mode facilitates the realization of the goal of walking guid ance and assistance to the human lower limb. The active training mode can realiz e the cooperative movement between the robot and the human through the admittanc e controller and the tension sensor and enhance the active participation of the patient. In the simulation experiment, a set of optimal admittance parameters wa s obtained, and the parameters were substituted into the controller for the prot otype experiment.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Fresh data on artificial intelligence are present ed in a new report. According to news originating from Solan, India, by NewsRx e ditors, the research stated, “In recent years, the field of biomedical video sou rce identification has witnessed a significant evolution driven by advances in b oth fuzzy-based systems and machine learning models.” Our news editors obtained a quote from the research from Jaypee University of In formation Technology: “This paper presents a comprehensive survey of the current state of the art in this domain, highlighting the transition from traditional f uzzy-based approaches to the emerging dominance of machine learning techniques. Biomedical videos have become integral in various aspects of healthcare, from me dical imaging and diagnostics to surgical procedures and patient monitoring. The accurate identification of the sources of these videos is of paramount importan ce for quality control, accountability, and ensuring the integrity of medical da ta. In this context, source identification plays a critical role in establishing the authenticity and origin of biomedical videos. This survey delves into the e volution of source identification methods, covering the foundational principles of fuzzy-based systems and their applications in the biomedical context. It expl ores how linguistic variables and expert knowledge were employed to model video sources, and discusses the strengths and limitations of these early approaches.”
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 from Birmingham, United Kingdom, by NewsRx correspondents, research stated, “Conventional techniq ues for monitoring pollen currently have significant limitations in terms of lab our, cost and the spatiotemporal resolution that can be achieved. Pollen monitor ing networks across the world are generally sparse and are not able to fully rep resent the detailed characteristics of airborne pollen.” Our news editors obtained a quote from the research from the University of Birmi ngham, “There are few studies that observe concentrations on a local scale, and even fewer that do so in ecologically rich rural areas and close to emitting sou rces. Better understanding of these would be relevant to occupational risk asses sments for public health, as well as ecology, biodiversity, and climate. We pres ent a study using low-cost optical particle counters (OPCs) and the application of machine learning models to monitor particulate matter and pollen within a mat ure oak forest in the UK. We characterise the observed oak pollen concentrations , first during an OPC colocation period (6 days) for calibration purposes, then for a period (36 days) when the OPCs were distributed on an observational tower at different heights through the canopy. We assess the efficacy and usefulness o f this method and discuss directions for future development, including the requi rements for training data. The results show promise, with the derived pollen con centrations following the expected diurnal trends and interactions with meteorol ogical variables. Quercus pollen concentrations appeared greatest when measured at the canopy height of the forest (20-30 m). Quercus pollen concentrations were lowest at the greatest measurement height that is above the canopy (40 m), whic h is congruent with previous studies of background pollen in urban environments. ”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news reporting from Kiel, Ger many, by NewsRx journalists, research stated, “Writing proficiency is an essenti al skill for upper secondary students that can be enhanced through effective fee dback. Creating feedback on writing tasks, however, is time-intensive and presen ts a challenge for educators, often resulting in students receiving insufficient or no feedback.” Financial supporters for this research include Bundesministerium Fur Bildung Und Forschung.
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 - Androi ds are discussed in a new report. According to news reporting from Orlando, Flor ida, by NewsRx journalists, research stated, “The corporeality of social robots can be broken down into anthropomorphic (humanoid), zoomorphic (animal-like), me chanoid (machine-like), and functional (use-based). The effects of these corpore al forms and their functions have been investigated within prior research; howev er, the benefits of each form and how they may relate to social presence still n eed investigation. 95 participants were randomly assigned to interact with eithe r Lynx (humanoid), Vector (mechanoid), or Alexa Echo (functional) and then answe red questionnaires related to the robot’s embodiment and perceived social presen ce.” The news correspondents obtained a quote from the research from the University o f Central Florida, “There is supporting evidence that social presence is explain ed by a few key factors of embodiment, but not all of them. (shared) perceptions and interpretations were found to be a requirement for social presence in robot s. Once met, the robot’s motion seems to be the most important factor for improv ing and predicting emotional and behavioral interdependence.”
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 in telligent systems. According to news reporting from Faro, Portugal, by NewsRx jo urnalists, research stated, “BIM tools enable decision-making during the lifecyc le of engineering structures, such as bridges, tunnels, and roads.” Financial supporters for this research include Fundacao Para A Ciencia E A Tecno logia. Our news editors obtained a quote from the research from University of Algarve: “National Road Authorities use Asset Management Systems (AMS) to manage and moni tor operational information of assets from European Highways, including access t o sensor and inspection data. Interoperability between BIM and AMS systems is vi tal for a timely and effective decision-making process during the operational ph ase of these assets. The European project Connected Data for Effective Collabora tion (CoDEC) designed a framework to support the connections between AMS and BIM platforms, using linked data principles. The CoDEC Data Dictionary was develope d to provide standard data formats for AMS used by European NRA. This paper pres ents the design and development of an Engineering Structures ontology used to en code the shared conceptualization provided by the CoDEC Data Dictionary.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Machine Learning have be en published. According to news reporting out of Granada, Spain, by NewsRx edito rs, research stated, “Generating chemical element maps of paintings from X-ray f luorescence (XRF) data is a very valuable tool for the scientific community of c onservators and art historians. Hand-held XRF scanners are cheap and easily port able but their use provides scans with a few data, so additional analytical tool s are needed to obtain reliable chemical element maps from them.” Financial supporters for this research include Spanish Government, ERDF funds, R egional Government of Andalusia/Ministry of Economic Transformation, Industry, K nowledge and Universities, Health Institute Carlos III/Spanish Ministry of Scien ce, Innovation and Universities, Spanish Government, Universidad de Granada-Spai n.
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