Machine learning
Maris-Tech, a global leader in video and artificial intelligence (AI) edge computing technology, has announced a Product Supply Agreement with One Stop Systems, a U.S.-based leader in ruggedized compute and storage solutions. Under this agreement, One Stop Systems will promote and support Maris-Tech's portfolio of video
Machine learning
New research has shed light on the behaviors of dairy cows when it comes to using shade, with significant implications for the dairy industry. The study, conducted by researchers from DairyNZ Ltd., used machine learning to analyze data from 4 dairy farms in New Zealand. The team found that dairy
Machine learning
Researchers from Chengdu Sport University in China have developed an SVM-based action recognition model that utilizes skeletal key point analysis with posture sensors to provide accurate sports training analysis tools. The study, published in Bmc Sports Science Medicine and Rehabilitation, employed the quaternion method to model human skeleton features, acquired
Machine learning
A team of researchers from the University of Science and Technology of China has made a significant contribution to the field of personalized medicine with the development of a machine learning-enhanced sensor for detecting biomarkers in the terahertz frequency range. The sensor, which is capable of detecting isoquercitrin, a crucial
Machine learning
Researchers at the Institute of Combustion Problems in Almaty, Kazakhstan, have conducted a study to investigate the air quality within urban public transport, revealing alarming concentrations of CO and PM in the city's metro, buses, and trolleybuses. The study used a low-cost IoT sensor and machine learning models
Machine learning
The patent describes a system for equalizing delays in event-based vision sensors, which are crucial for various machine vision tasks such as monitoring, tracking, and position and motion estimation. Conventional cameras and their associated frame-based, spatially resolved optical sensors have drawbacks, including a significant amount of redundant and unnecessary data,
Machine learning
Researchers at New Mexico State University have successfully deployed artificial intelligence to improve cattle monitoring on large, often rugged, rangelands. Using Long Range Wide Area Network (LoRaWAN) tracking and monitoring technology, the study tested the performance of five machine learning classifiers to discriminate between active and stationary states, and among
Technical institutes
Researchers from the Harbin Institute of Technology have developed a novel clamp-shaped quartz tuning fork (QTF)-based laser spectroscopy sensor that exhibits enhanced performance compared to traditional QTFs. The team created a clamp-type structure to optimize the distribution of surface charges, reduce sharp right angles, and minimize performance degradation. The
Technical institutes
Researchers from the Georgia Institute of Technology have conducted a comprehensive survey of transfer learning methods in the application domains of smart home and wearables-based human activity recognition (HAR). The study, which covered 246 papers, highlighted the gaps in the literature and provided a roadmap for addressing these. The research
Technical institutes
Researchers from Zhejiang University of Technology have successfully developed a three-channel fluorescence sensor utilizing hydroxylamine hydrochloride and novel carbon quantum dots. The sensor enables the identification of 16 aldehydes, ketones, and baijiu samples, with a response intensity hierarchy ranking aromatic aldehydes, aliphatic aldehydes, diketones, aromatic ketones, monoketones, and acetal. Key
Nanotechnology
Researchers from Shanxi University in Taiyuan, People's Republic of China, have developed a novel reflective cascaded microfiber optic sensor that can detect low levels of b-lactoglobulin (B-LG) in dairy products, a leading allergen responsible for food allergies worldwide. The sensor, which utilizes a quercetin@zeolitic imidazolate framework-8/polydopamine-coated
Nanotechnology
Researchers from Kongju National University have developed a fully porous Ecoflex-based triboelectric nanogenerator (FPE-TENG) for flexible, breathable, and cost-effective self-powered wearable applications. The innovative device, described in a recent study, utilizes a unique design composed of entirely porous materials, enabling exceptional breathability and user comfort for prolonged wearable applications. Key
