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A photodetector for red and green with balanced negative and positive photocurrent for imaging is realized
Published 2025-01-01“…The imaging capability is experimentally demonstrated for real-life red and green color recognition on a mobile phone display.…”
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Zigbee Wireless Sensor Networks: Performance Study in an Apartment-Based Indoor Environment
Published 2022-01-01“…For this purpose, this paper presents a comprehensive performance study of a Zigbee network in the presence of a Wi-Fi interference network in a real-life apartment-based indoor environment where Wi-Fi access points of dense neighbors exist. …”
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Which type of feedback—Positive or negative- reinforces decision recall? An EEG study
Published 2025-01-01“…Participants completed a decision-making task involving 10 real-life scenarios, each followed by immediate positive or negative feedback. …”
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AI augmented edge and fog computing for Internet of Health Things (IoHT)
Published 2025-01-01“…An edge/fog computing environment, paired with current computing techniques, is the answer to fulfill the energy efficiency and latency requirements for the real-time collection and analysis of health data. …”
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Experimental Investigations of Offshore Sand Production Monitoring Based on the Analysis of Vibration in Response to Weak Shocks
Published 2021-01-01“…The characteristic frequency band of sand impacting the pipe wall is 30-50 kHz. …”
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Forgery face detection method based on multi-domain temporal features mining
Published 2023-06-01“…Financial technology has greatly facilitated people’s daily life with the continuous development of computer technology in the financial services industry.However, digital finance is accompanied by security problems that can be extremely harmful.Face biometrics, as an important part of identity information, is widely used in payment systems, account registration, and many other aspects of the financial industry.The emergence of face forgery technology constantly impacts the digital financial security system, posing a threat to national asset security and social stability.To address the security problems caused by fake faces, a forgery face detection method based on multi-domain temporal features mining was proposed.The tampering features were distinguished and enhanced based on the consistency of statistical feature data distribution and temporal action trend in the temporal features of videos existing in the spatial domain and frequency domain.Temporal information was mined in the spatial domain using an improved LSTM, while in the frequency domain, temporal information existing in different frequency bands of the spectrum was mined using 3D convolution layers.The information was then fused with the tampering features extracted from the backbone network, thus effectively distinguishing forged faces from real ones.The effectiveness of the proposed method was demonstrated on mainstream datasets.…”
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Editorial
Published 2020-06-01“…On the one hand, older and younger cohorts might band together to ensure housing opportunities for a younger cohort facing expensive housing. …”
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