Multifeedstock and multiproduct process design using neural network surrogate flexibility constraints

Y Luo, M Ierapetritou - Industrial & Engineering Chemistry …, 2023 - ACS Publications
Biorefineries are designed to utilize a combination of various technologies to transform
biomass derived raw materials into different value-added products. This strategy has been …

Voice activity detection optimized by adaptive attention span transformer

W Mu, B Liu - IEEE Access, 2023 - ieeexplore.ieee.org
Voice Activity Detection (VAD) is a widely used technique for separating vocal regions from
audio signals, with applications in voice language coding, noise reduction, and other …

MobileSAM-Track: Lightweight One-Shot Tracking and Segmentation of Small Objects on Edge Devices

Y Liu, Y Zhao, X Zhang, X Wang, C Lian, J Li, P Shan… - Remote Sensing, 2023 - mdpi.com
Tracking and segmenting small targets in remote sensing videos on edge devices carries
significant engineering implications. However, many semi-supervised video object …

Detection and identification of fish skin health status referring to four common diseases based on improved YOLOv4 Model

G Yu, J Zhang, A Chen, R Wan - Fishes, 2023 - mdpi.com
A primary problem affecting the sustainable development of aquaculture is fish skin
diseases. In order to prevent the outbreak of fish diseases and to provide prompt treatment …

Power Supply Technologies for Drones and Machine Vision Applications: A Comparative Analysis and Future Trends

A Pekias, GS Maraslidis, MG Tsipouras… - Telecom, 2023 - mdpi.com
The field of Unmanned Aerial Vehicles (UAVs), or drones, is encountering quick
development in the areas of air transportation and computerization. Progress in innovation …

Predicting Player Engagement in Tom Clancy's The Division 2: A Multimodal Approach via Pixels and Gamepad Actions

K Pinitas, D Renaudie, M Thomsen, M Barthet… - Proceedings of the 25th …, 2023 - dl.acm.org
This paper introduces a large scale multimodal corpus collected for the purpose of analysing
and predicting player engagement in commercial-standard games. The corpus is solicited …

Identity-invariant representation and transformer-style relation for micro-expression recognition

Z Shao, F Li, Y Zhou, H Chen, H Zhu, R Yao - Applied Intelligence, 2023 - Springer
Micro-expression recognition (MER) is a challenging task due to the subtle changes of facial
muscle movements in a short duration. These muscle movements, which are generalized as …

I-DNAN6mA: Accurate Identification of DNA N6-Methyladenine Sites Using the Base-Pairing Map and Deep Learning

XQ Fan, B Lin, J Hu, ZY Guo - Journal of Chemical Information …, 2023 - ACS Publications
The recent discovery of numerous DNA N6-methyladenine (6mA) sites has transformed our
perception about the roles of 6mA in living organisms. However, our ability to understand …

Load Disaggregation Based on a Bidirectional Dilated Residual Network with Multihead Attention

Y Shu, J Kang, M Zhou, Q Yang, L Zeng, X Yang - Electronics, 2023 - mdpi.com
Load disaggregation determines appliance-level energy consumption unintrusively from
aggregated consumption measured by a single meter. Deep neural networks have been …

DMRNet Based Tuberculosis Screening With Cough Sound

W Xu, H Yuan, X Lou, Y Chen, F Liu - IEEE Access, 2023 - ieeexplore.ieee.org
Tuberculosis is the leading cause of death due to a single infection prior to the COVID-19
pandemic. Screening of tuberculosis patients in a large population is of paramount …