SPECTRUMNET: Cooperative Spectrum Monitoring Using Deep Neural Networks by M. Suriya, M. G. Sumithra

“…A deep neural network model for intelligent wireless signal identification to perform spectrum monitoring is proposed to perform efficient sensing at low SNR (signal to noise ratio) and preserve hyperspectral image features. A hybrid deep learning model called SPECTRUMNET (spectrum sensing using deep neural network) is presented. …”
Get full text

Technology for the Quantitative Identification of Dairy Products Based on Raman Spectroscopy, Chemometrics, and Machine Learning by Zheng-Yong Zhang, Jian-Sheng Su, Huan-Ming Xiong

“…Finally, with the rise of deep learning algorithms and fusion strategies, some challenges in this field are proposed.…”
Get full text

An SDP Characteristic Information Fusion-Based CNN Vibration Fault Diagnosis Method by Xiaoxun Zhu, Jianhong Zhao, Dongnan Hou, Zhonghe Han

“…By using CNN through deep learning to adaptively extract SDP characteristic information, vibration fault identification was ultimately realized.…”
Get full text

Improving the Machine Learning Stock Trading System: An N-Period Volatility Labeling and Instance Selection Technique by Young Hun Song, Myeongseok Park, Jaeyun Kim

“…However, investors cannot manually analyze all market patterns and establish rules, necessitating the development of supervised learning trading systems that can discover market patterns using machine or deep learning techniques. Many studies on supervised learning trading systems rely on up–down labeling based on price differences, which overlooks the issues of nonstationarity, complexity, and noise in stock data. …”
Get full text

Capsule neural network and adapted golden search optimizer based forest fire and smoke detection by Luling Liu, Li Chen, Mehdi Asadi

“…By using advanced deep learning and optimization strategies, the method effectively identifies complex patterns linked to wildfires. …”
Get full text

Research and DSP Implementation of Speech Enhancement Technology Based on Dynamic Mixed Features and Adaptive Mask by Jie Yang, Yachun Tang

“…A deep learning speech enhancement algorithm based on dynamic hybrid feature and adaptive mask and DSP implementation is proposed in this paper, which solves the problem of feature loss and improves the performance of speech enhancement. …”
Get full text

Scheme Analysis for Enhancing Autonomous Driving Based on Computer Vision by Chen Xinyi, Luo Binbin, Xu Ziyue

“…Future research will prioritize developing highly effective deep learning models and optimizing cognitive computing visual systems to ameliorate the efficiency and ensure the safety of autonomous driving. …”
Get full text

Single-cell RNA-seq data augmentation using generative Fourier transformer by Nima Nouri

“…However, its full potential to achieve statistically reliable conclusions is often constrained by the limited number of cells profiled, particularly in studies of rare diseases, specialized tissues, and uncommon cell types. Deep learning-based generative models (GMs) designed to address data scarcity often face similar limitations due to their reliance on pre-training or fine-tuning, inadvertently perpetuating a cycle of data inadequacy. …”
Get full text

Bearing Fault Diagnosis Based on Multilayer Domain Adaptation by Bingru Yang, Qi Li, Liang Chen, Changqing Shen

“…Bearing fault diagnosis plays a vitally important role in practical industrial scenarios. Deep learning-based fault diagnosis methods are usually performed on the hypothesis that the training set and test set obey the same probability distribution, which is hard to satisfy under the actual working conditions. …”
Get full text

Unsupervised monocular depth estimation with omnidirectional camera for 3D reconstruction of grape berries in the wild. by Yasuto Tamura, Yuzuko Utsumi, Yuka Miwa, Masakazu Iwamura, Koichi Kise

“…To satisfy the practical constraints of this task, we extend a deep learning-based unsupervised monocular depth estimation method to an omnidirectional camera and propose using it. …”
Get full text

Classification of User Expressions on Social Media Using LSTM and GRU Models by I Gede Putra Mas Yusadara, I Gusti Ayu Desi Saryanti

“…This research is expected to contribute to emotion analysis systems based on deep learning.…”
Get full text

Recognition of Transportation State by Smartphone Sensors Using Deep Bi-LSTM Neural Network by Hong Zhao, Chunning Hou, Hala Alrobassy, Xiangyan Zeng

“…The deep Bi-LSTM (bidirectional long short-term memory) neural network structure, the crowd-sourcing model, and the TensorFlow deep learning system are used to classify the transportation states. …”
Get full text

Enhancing Brain Tumor Detection: A Comparative Study of CNN Architectures Using MRI Data by Zhu Zhimeng

“…Deep learning models have become essential for automated medical image analysis in brain tumor detection. …”
Get full text

Generating Deeply-Engineered Technical Features for Basketball Video Understanding by Shaohua Fang, Guifeng Wang, Yongbin Li, Yue Yu, Jun Li

“…Our main contributions include: 1) an LSTM-based deep learning architecture for player action recognition and prediction; 2) a clustering-based algorithm for basketball court and line detection; and 3) a keyframe selection technique for basketball videos based on spatial-temporal scoring. …”
Get full text

UAV target tracking method based on global feature interaction and anchor-frame-free perceptual feature modulation. by Yuanhong Dan, Jinyan Li, Yu Jin, Yong Ji, Zhihao Wang, Dong Cheng

“…Target tracking techniques in the UAV perspective utilize UAV cameras to capture video streams and identify and track specific targets in real-time. Deep learning UAV target tracking methods based on the Siamese family have achieved significant results but still face challenges regarding accuracy and speed compatibility. …”
Get full text

Formation and creative manifestation of functional ensembles of intellectual agents based on live information in various spheres of life activity by Evgeny Bryndin

“…Neural networks with deep learning and reinforcement are able to compose poetry and music, draw paintings, and write short stories, as well as come up with scripts for films. …”
Get full text

Deep Domain Adaptation Model for Bearing Fault Diagnosis with Domain Alignment and Discriminative Feature Learning by Jing An, Ping Ai, Dakun Liu

“…Deep learning techniques have been widely used to achieve promising results for fault diagnosis. …”
Get full text

The impact of artificial intelligence on business performance: a bibliometric analysis of publication trends by Rachid ZIKY, Hicham BAHIDA, Ahmed ABRIANE

“…Results underscore the importance of deep learning and performance optimization. Limitations include the reliance on the Scopus database and the restricted analysis period. …”
Get full text

Examine the Prediction Error of Ride-Hailing Travel Demands with Various Ignored Sparse Demand Effects by Zhiju Chen, Kai Liu, Tao Feng

“…To obtain the spatiotemporal characteristics of the travel demand, three hexagon-based deep learning models (H-CNN-LSTM, H-CNN-GRU, and H-ConvLSTM) are compared by setting various threshold values. …”
Get full text

A New Multiface Target Detection Algorithm for Students in Class Based on Bayesian Optimized YOLOv3 Model by Dongmei Shi, Hongyu Tang

“…Deep learning theory is widely used in face recognition. …”
Get full text