查看更多>>摘要：Investigators publish new report on ar tificial intelligence. According to news reporting from Superior University by N ewsRx journalists, research stated, "The dangers that Internet of Things (IoT) d evices pose to large corporate corporations and smart districts have been dissec ted by several academics." The news correspondents obtained a quote from the research from Superior Univers ity: "Given the ubiquitous use of IoT and its unique characteristics, such as mo bility and normalization restrictions, intelligent frameworks that can independe ntly detect suspicious activity in privately linked IoT devices are crucial. The IoTs have led an explosion in traffic through the network, bringing information processing techniques for attack detection. The increase in traffic poses chall enges in detecting attacks and differentiating traffic that is harmful. In this work, we have proposed a mechanism that uses the standard algorithms in a system that is designed to detect, track, measure and identify online traffic from org anizations with malignant transmission: Random Forest (RF), gradient-boosted dec ision trees (GBDT), and support vector machines (SVM) gives an optimal accuracy of 80.34%,87.5%, and 88.6% while the ran dom forest-based supervised approach is 5.5% better than the previ ous techniques."
查看更多>>摘要：Investigators discuss new findings in Artificial Intelligence. According to news reporting originating in Enschede, Ne therlands, by NewsRx journalists, research stated, "The Future of Work (FoW) has garnered significant attention among scholars and practitioners, with the adven t of Artificial Intelligence (AI) playing an important role in shaping this disc ourse. Despite the common perception that intelligent machines pose a threat to workers in routine roles, AI technologies are increasingly being utilized for ad vanced tasks carried out by knowledge workers." Financial support for this research came from University of Naples Parthenope. The news reporters obtained a quote from the research from the University of Twe nte, "Drawing on state-of-the-art research and real-life examples we develop an integrated framework to explore the future of academic work. Our focus is on aca demics, an essential yet under-researched group of knowledge workers, and we dis cuss their work in relation to AI across space, time, and task dimensions. Our a nalysis reveals that the usage of AI technologies can have implications for the research, teaching, and service activities of academics and thereby also for the creation, acquisition, dissemination, and application of knowledge."
查看更多>>摘要：2024 OCT 09 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Researchers detail new data in Robotics. Accordin g to news reporting out of Henan, People's Republic of China, by NewsRx editors, research stated, "Harvesting represents the crucial stage in the cultivation pr ocess of Agaricus bisporus mushrooms. An important way for the production proces s of Agaricus bisporus to reduce costs and increase income is to ensure timely h arvest of Agaricus bisporus, reduce harvesting costs, and improve harvesting eff iciency." Funders for this research include National Key Research & Developm ent Program of China, Major Science and Technology Programs of Henan Province, H enan Provincial Major Science and Technology Special Project (Longmen Laboratory First-Class Project).
查看更多>>摘要：Investigators publish new report on Ma chine Learning. According to news reporting from Zhenjiang, People's Republic of China, by NewsRx journalists, research stated, "Tea plant (Camellia sinensis) i s a major global crop consumed as a drink after water. Quantifying carbon flux, specifically the net ecosystem exchange (NEE), in tea plantations is essential f or determining carbon sequestration and ecosystem carbon balance." Funders for this research include Key R & D Programme of the Jiang su Provincial Government, Priority Academic Programme Development of the Jiangsu Higher Education Institutions.
查看更多>>摘要：Current study results on Robotics have been published. According to news originating from Suzhou, People's Republic of China, by NewsRx correspondents, research stated, "Only a limited number of stu dies have utilized non -vibration signals to conduct fault diagnosis of ball scr ews in industrial robots, and existing methods have to combine domain adaptation methods to overcome the challenge posed by variable and inaccessible working co nditions, leading to the development of complex and large-scale models that are impractical to implement. In this study, a lightweight diagnosis model called Mi cro -Net is proposed, in which vibration signals and domain adaptation technique s are completely avoided." Funders for this research include National Innovation and Development Project of Industrial Internet, National Natural Science Foundation of China (NSFC), Suzho u Science Foundation.
查看更多>>摘要：Researchers detail new data in Robotic s - Robotics and Automation. According to news reporting originating from Qinhua ngdao, People's Republic of China, by NewsRx correspondents, research stated, "T his letter studies the minimum time formation control issue of autonomous underw ater vehicles (AUVs), subject to switching topology during the formation procedu re. We first employ the smoothstep function to describe the smooth transition of communication topology." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Distinguished Young Foundation of Hebei Province, Yan Zhao Y oung Scientist Project of Hebei Province, National Science Foundation (NSF) of H ebei Province, Central Guidance Local Foundation of Hebei Province, Three-Three- Three Foundation of Hebei Province.
查看更多>>摘要：2024 OCT 09 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on Musculoskeletal Diseases and Cond itions - Spinal Stenosis is the subject of a report. According to news reporting originating from Shaanxi, People's Republic of China, by NewsRx correspondents, research stated, "The objective of this study was to develop and validate machi ne learning (ML) algorithms to predict the 30-day and 6-month risk of deteriorat ing functional status following surgical treatment for thoracic spinal stenosis (TSS). We aimed to provide surgeons with tools to identify patients with TSS who have a higher risk of postoperative functional decline." Our news editors obtained a quote from the research from Xi'an Jiaotong Universi ty, "The records of 327 patients with TSS who completed both follow-up visits we re analyzed. Our primary endpoint was the dichotomized change in the perioperati ve Japanese Orthopedic Association (JOA) score, categorized based on whether it deteriorated or not. The models were developed using Naive Bays, LightGBM, XGBoo st, logistic regression, and random forest classification models. The model perf ormance was assessed by accuracy and the c-statistic. ML algorithms were trained , optimized, and tested. The best-performing algorithms for predicting functiona l decline at 30 days and 6 months after TSS surgery were XGBoost (accuracy= 88.17 %, c-statistic=0.83) and Naive Bays (accuracy=86.03%, c-statistic=0.80). Both algorithms presented good calibration and discrimination in our testing data. We identified several significant predictors, including po or quality of intraoperative SSEP/MEP baseline, poor quality of preoperative SSE P, duration of symptoms, operated level, and motor dysfunction of the lower extr emity. The best-performing algorithms for predicting functional decline at 30 da ys and 6 months after TSS surgery were XGBoost (accuracy= 88.17%, c- statistic=0.83) and Naive Bays (accuracy=86.03%, c-statistic=0.80). Both algorithms presented good calibration and discrimination in our testing da ta."
查看更多>>摘要：Investigators publish new report on ar tificial intelligence. According to news reporting out of Bogota, Colombia, by N ewsRx editors, research stated, "The compatibility between antioxidant compounds (ACs) and wall materials (WMs) is one of the most crucial aspects of the encaps ulation process, as the encapsulated compounds' stability depends on the affinit y between the compounds, which is influenced by their chemical properties." The news correspondents obtained a quote from the research from University of lo s Andes: "A compatibility model between the encapsulant and antioxidant chemical s was built using machine learning (ML) to discover optimal matches without cost ly and time-consuming trial-and-error experiments. The attributes of the require d antioxidant and wall material components were recollected, and two datasets we re constructed. As a result, a tying process was performed to connect both datas ets and identify significant relationships between parameters of ACs and WMs to define the compatibility or incompatibility of the compounds, as this was necess ary to enrich the dataset by incorporating decoys. As a result, a simple statist ical analysis was conducted to examine the indicated correlations between variab les, and a Principal Component Analysis (PCA) was performed to reduce the dimens ionality of the dataset without sacrificing essential information. The K-nearest neighbor (KNN) algorithm was used and designed to handle the classification pro blems of the compatibility of the combinations to integrate ML in the model."
查看更多>>摘要：A new study on Support Vector Machines is now available. According to news reporting from Beijing, People's Republic o f China, by NewsRx journalists, research stated, "Short-term prediction of high- speed rail (HSR) passenger flow provides a daily ridership estimation for the ne ar future, which is critical to HSR planning and operational decision making. Th is paper proposes a new methodology that integrates ensemble empirical mode deco mposition with multivariate support vector machines (EEMDMSVM)." Funders for this research include National Natural Science Foundation of China ( NSFC), Beijing Jiaotong University, China.
查看更多>>摘要：New research on Biotechnology - Genomi cs Proteomics and Bioinformatics is the subject of a report. According to news r eporting originating from Beijing, People's Republic of China, by NewsRx corresp ondents, research stated, "An accurate assessment of p53's functional status is critical for cancer genomic medicine. However, there is a significant challenge in identifying tumors with nonmutational p53 inactivations that are not detecta ble through DNA sequencing." Our news editors obtained a quote from the research from China National Center f or Bioinformation, "These undetected cases are often misclassified as p53-normal , leading to inaccurate prognosis and downstream association analyses. To addres s this issue, we built the support vector machine (SVM) models to systematically reassess p53's functional status in TP53 wild-type (TP53 WT) tumors from multip le The Cancer Genome Atlas (TCGA) cohorts. Cross-validation demonstrated the goo d performance of the SVM models with a mean area under curve (AUC) of 0.9822, pr ecision of 0.9747, and recall of 0.9784. Our study revealed that a significant p roportion (87%-99%) of TP53 WT tumors actually have co mpromised p53 function. Additional analyses uncovered that these genetically int act but functionally impaired (termed as predictively reduced function of p53 or TP53 WT-pRF) tumors exhibited genomic and pathophysiologic features akin to TP5 3 mutant tumors: heightened genomic instability and elevated levels of hypoxia."
NETL
NSTL