A5101677656- Face recognition and analysis
- Diverse Musicological Studies
- Remote Sensing and Land Use
- Face and Expression Recognition
- Biochemical and Structural Characterization
- Geochemistry and Geologic Mapping
- Model Reduction and Neural Networks
- Scientific Computing and Data Management
- Wireless Body Area Networks
- Nuclear Engineering Thermal-Hydraulics
- Simulation and Modeling Applications
- Manufacturing Process and Optimization
- Context-Aware Activity Recognition Systems
- Image Processing and 3D Reconstruction
- Metal Extraction and Bioleaching
- Music Technology and Sound Studies
- Civil and Geotechnical Engineering Research
- Muscle activation and electromyography studies
- Music and Audio Processing
- Geology and Paleoclimatology Research
- Hand Gesture Recognition Systems
- Toxin Mechanisms and Immunotoxins
- Non-Invasive Vital Sign Monitoring
- Adversarial Robustness in Machine Learning
- Hydrocarbon exploration and reservoir analysis
Tokyo University of Agriculture and Technology
2024
Qiqihar University
2021
Beijing University of Technology
2020
Imperial College London
2015
Institute of Microbiology
2010
Microbiology Institute of Shaanxi
2010
Chinese Academy of Sciences
2010
Tianjin University of Science and Technology
2009
A novel acidothermophilic archaeon, strain Ar-4 T , was isolated from a sulfuric hot spring in Tengchong, Yunnan, China. Cells of were Gram-staining-negative, irregular cocci and motile by means flagella. Strain grew over temperature range 55–75 °C (optimum, 65 °C), pH 2.5–5.5 3.5) NaCl concentration 0–1 % (w/v). The aerobic facultatively chemolithoautotrophic. could extract metal ions sulfidic ore. It also able to oxidize reduced sulfur compounds. In addition, it use heterogeneous organic...
In this research, the artificial intelligent method based human motion pattern recognition for surface electromyographic (EMG) signal is proposed. As EMG a measurement of anatomical and physiological characteristic given muscle, macroscopical movement patterns body can be classified recognized. By using technology wavelet packet transformation, high-frequency noises eliminated effectively characteristics signals extracted. Auto-regressive model adopted to simulate stochastic non-stationary...
Abstract In recent years, with the continuous development of Internet and artificial intelligence, face recognition technology has also been widely used in many application scenarios. Facing complex surveillance scenarios, still faces great challenges. This paper focuses on implementing real-time efficient systems such as insufficient lighting, small faces, dense crowds, sides at 45 ° environment. The system is mainly based RetinaFace for detection alignment, uses lightweight mobilenet...
A major limitation of prompt tuning is its dependence on large labeled training datasets. Under few-shot learning settings, lags far behind full-model fine-tuning, limiting scope application. In this paper, we leverage the powerful LLMs to synthesize task-specific data for soft prompts. We first introduce a distribution-aligned weighted generator (DawGen) method encourage generating in-distribution that aligns with real data. Then, train prompts both synthetic and datasets using gradient...
Generating and managing input data for large-scale scientific computations has, many classes of application, always been a challenging process. The emergence new hardware platforms increasingly complex models compounds this problem as configuration can change depending on the underlying properties computation. In paper we present TemPSS (Templates Profiles Scientific Software), web-based service building application files using concepts software parameter templates job profiles. Many...
The acoustic characteristics of wind instruments are a major feature in the field vocal music. This paper studies application effect power instrument extraction based on multiacoustic data. Combined with data training model, classification algorithm deep trust network is used to process multiple Using for extraction, recognition and matching between measuring realized. experiment not only evaluates error but also describes evaluation function belief system. traditional SNR method improve...