Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Renjian Feng"'
Publikováno v:
BMC Psychiatry, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Patients with major depressive disorder (MDD) have an increased risk of breast cancer (BC), implying that these two diseases share similar pathological mechanisms. This study aimed to identify the key pathogenic genes that lead to
Externí odkaz:
https://doaj.org/article/bf11cdbace7f4dd9bcb10403f38939f1
Publikováno v:
Journal of Low Frequency Noise, Vibration and Active Control, Vol 42 (2023)
Addressing the problem of vulnerability of the directly measured signal in the field of strain weighing to the high-energy noise of similar frequency bands, an adaptive VMD algorithm is proposed from the perspective of signal separation for the decom
Externí odkaz:
https://doaj.org/article/d7d0deba628b448e8fb93be765c8af19
Publikováno v:
Sensors, Vol 23, Iss 10, p 4876 (2023)
The total harmonic distortion (THD) index and its calculation methods are presented to calibrate the sinusoidal motion of the low-frequency angular acceleration rotary table (LFAART) and make up the incomprehensive evaluation based on the angular acc
Externí odkaz:
https://doaj.org/article/2a8740eb3b6641fba33eb18bad73b796
Publikováno v:
IEEE Access, Vol 8, Pp 215192-215201 (2020)
Recurrent neural network (RNN) has the ability to learn long-term dependencies, which makes it suitable for acoustic modeling in speech recognition. In this paper, we revise RNN model used in acoustic modeling, namely, mGRUIP with Context module (mGR
Externí odkaz:
https://doaj.org/article/7acd901f37a047bca3b3138cc217ee89
Publikováno v:
IEEE Access, Vol 7, Pp 162639-162651 (2019)
At present, WiFi fingerprinting indoor positioning technology is a research hotspot, and the construction of a radio map based on crowdsourcing can significantly reduce the amount of labor required. However, when users collect fingerprint information
Externí odkaz:
https://doaj.org/article/184a40fd59e946d98b39593be2eb1b8b
Publikováno v:
Journal of Low Frequency Noise, Vibration and Active Control, Vol 40 (2021)
Active noise control systems can effectively suppress the impact of low-frequency noise and they have been applied in many fields. Recently, the evolutionary computation algorithm-based active noise control system has attracted considerable attention
Externí odkaz:
https://doaj.org/article/f800d4dfd539489cbc3acfb853f03bd0
Publikováno v:
Journal of Low Frequency Noise, Vibration and Active Control, Vol 39 (2020)
Active noise control shows a good performance on the suppression of the low-frequency noise and hence it is widely applied. However, the traditional active noise control systems are unsatisfactory in controlling impulse noise in practical situations.
Externí odkaz:
https://doaj.org/article/fc756bc8d9df4b819ca1f5d8be3960de
Publikováno v:
Sensors, Vol 12, Iss 1, Pp 189-214 (2011)
In light of the problems of low recognition efficiency, high false rates and poor localization accuracy in traditional pipeline security detection technology, this paper proposes a type of hierarchical leak detection and localization method for use i
Externí odkaz:
https://doaj.org/article/36d5c50da8cd4d1196e79bc5d2670f6f
Publikováno v:
Sensors, Vol 11, Iss 4, Pp 3908-3938 (2011)
For large-scale wireless sensor networks (WSNs) with a minority of anchor nodes, multi-hop localization is a popular scheme for determining the geographical positions of the normal nodes. However, in practice existing multi-hop localization methods s
Externí odkaz:
https://doaj.org/article/bc210fa944df479d81ed0bb330955cbd
Publikováno v:
Sensors, Vol 11, Iss 2, Pp 1345-1360 (2011)
For wireless sensor networks (WSNs), many factors, such as mutual interference of wireless links, battlefield applications and nodes exposed to the environment without good physical protection, result in the sensor nodes being more vulnerable to be a
Externí odkaz:
https://doaj.org/article/69175100ecb84445bc0efc92a7474bc0