Results 21 to 30 of about 113,677 (311)
Optimizing Neural Inertial Classification: A Benchmark Study of Data-Driven Techniques
Inertial sensors are widely used for pedestrian activity recognition. Recent advances in deep learning techniques have significantly improved the inertial classification task’s performance and robustness.
Ofir Kruzel, Zeev Yampolsky, Itzik Klein
doaj +1 more source
A Fault-Tolerant Multiple Sensor Fusion Approach Applied to UAV Attitude Estimation
A novel sensor fusion design framework is presented with the objective of improving the overall multisensor measurement system performance and achieving graceful degradation following individual sensor failures.
Yu Gu +3 more
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Using the Kinect sensor device and its related Microsoft software development kit (SDK), a Kinect-SDK speech recognition system can be easily established. However, such speech recognition systems exhibit substandard recognition performance and unreliable
Ing-Jr Ding, Shih-Kai Lin
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Today, clinicians often do diagnosis and classification of diseases based on information collected from several physiological sensor signals. However, sensor signal could easily be vulnerable to uncertain noises or interferences and due to large ...
Shahina Begum +2 more
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Drone Detection With a LTE450‐Based Passive Radar
Passive reconnaissance solutions receive increased interest as unjammable fibre‐optic drones represent a large number of UAVs in recent military conflicts.
Bruno Demissie, Christian Steffes
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Performance Analysis of Different Types of Sensor Networks for Cognitive Radios
We consider the problem of using multiple sensors to detect whether a certain spectrum is occupied or not. Each sensor sends its spectrum sensing result to a data fusion center, which combines all the results for an overall decision.
Chunxuan Ye +3 more
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Reciprocal control of viral infection and phosphoinositide dynamics
Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
wiley +1 more source
Sensor fusion frameworks for indoor localization are developed with the specific goal of reducing positioning errors. Although many conventional localization frameworks without fusion have been improved to reduce positioning error, sensor fusion ...
Alwin Poulose, Jihun Kim, Dong Seog Han
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An Overview of IoT Sensor Data Processing, Fusion, and Analysis Techniques
In the recent era of the Internet of Things, the dominant role of sensors and the Internet provides a solution to a wide variety of real-life problems.
Rajalakshmi Krishnamurthi +4 more
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Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho +3 more
wiley +1 more source

