YOLO-WAD for Small-Defect Detection Boost in Photovoltaic Modules by Yin Wang, Wang Yun, Gang Xie, Zhicheng Zhao

“…Subsequently, an additional detection layer is added to the neck, and C2f is replaced by C2f-EMA (CSP bottleneck with two convolutions–efficient multi-scale attention mechanism), which can redistribute feature weights and prioritize relevant features and spatial details across image channels to improve feature extraction. …”
Get full text

Advancing Nighttime Object Detection through Image Enhancement and Domain Adaptation by Chenyuan Zhang, Deokwoo Lee

“…Due to the lack of annotations for nighttime low-light images, object detection in low-light images has always been a challenging problem. Achieving high-precision results at night is also an issue. …”
Get full text

Detection Method for Bolts with Mission Pins on Transmission Lines Based on DBSCAN-FPN by Zhenbing ZHAO, Shuai ZHANG, Wei JIANG, Peng WU

“…As the bolt with missing pins are small targets, their positioning is difficult and their features are hard to extract. Aim at this problem, a detection method for bolts with missing pins is proposed based on the DBSCAN algorithm and FPN model. …”
Get full text

A dual-stream ordered topology-aware network for accurate fish counting in aquaculture environments by Jiaming Xin, Zhengmeng Wu, Tongtong Gu, Yiying Wang, Dashe Li, Bin Wang

“…These features are then aggregated via a dynamic restoration unit, effectively mitigating the long-tail problem caused by uneven fish distribution. …”
Get full text

A Hybrid Deep Learning Approach for Cotton Plant Disease Detection Using BERT-ResNet-PSO by Chetanpal Singh, Santoso Wibowo, Srimannarayana Grandhi

“…Then, the output of the encoded feature is passed to ResNet-based architecture for feature extraction and further optimized by PSO to increase the classification accuracy. …”
Get full text

Radar Waveform Recognition With ConvNeXt and Focal Loss by Liping Luo, Jie Huang, Yang Yang, Dexiu Hu

“…Finally, ConvNeXt model was constructed to automatically extract signal TFI features to realize radar waveform classification and recognition, and focal loss was embedded to increase the weight of classes with small sample numbers in training and solve the problem of sample imbalance. …”
Get full text

A novel diagnostic and prognostic approach for unresponsive patients with anthroponotic cutaneous leishmaniasis using artificial neural networks. by Mehdi Bamorovat, Iraj Sharifi, Esmat Rashedi, Alireza Shafiian, Fatemeh Sharifi, Ahmad Khosravi, Amirhossein Tahmouresi

“…The results showed that the major feature affecting the responsiveness to treatments is the duration of the lesion. …”
Get full text

Lightweight Football Motion Recognition and Intensity Analysis Using Low-Cost Wearable Sensors by Qian Xie, Ning Jin, Shanshan Lu

“…The model can perform classification and regression tasks in parallel and output the results simultaneously. A feature extraction scheme is designed in the initial data processing, and feature data augmentation is performed to solve the small sample data problem. …”
Get full text

Swin Attention Augmented Residual Network: a fine-grained pest image recognition method by Xiang Wang, Zhiyong Xiao, Zhaohong Deng

“…On the other hand, it integrates multi-scale information to effectively alleviate the problem of fine-grained feature ambiguity or loss. …”
Get full text

Research on underwater target detection error compensation based on improved binocular vision by Wenhui Wang, Fumeng Ye, Yumin Peng, Shi Dong

“…A novel binocular vision error compensation method is proposed to solve the major error compensation problem caused by nonlinear distortion of camera and projector on underwater target detection. …”
Get full text

Alignment-Based Pseudo-Label Generation With Collaborative Filtering Mechanism for Enhanced Cross-Domain Aspect-Based Sentiment Analysis by Yadi Xu, Noor Farizah Ibrahim

“…To solve the data scarcity problem, existing cross-domain ABSA research employs semi-unsupervised learning using pseudo-labels. …”
Get full text

PROSECUTORAL SUPERVISION OVER THE EXECUTION OF LAWS BY THE BODIES CARRYING OUT OPERATIONAL-SEARCH ACTIVITIES by FEDORENKO YU.V., SHAPOVALOV YU.A.

“…In this regard, the authors come to the conclusion that it is necessary to systematize the rules of law governing the features. Prosecutorial supervision over the implementation of laws by bodies carrying out operational investigative activities, in order to eliminate emerging problems in the application of legal norms. …”
Get full text

Choosing a video conferencing service and its adaptation for educational institution by A. N. Markov, R. O. Ihnatovich, A. I. Paramonov

“…At the stage of software selection, the features of its operation, requirements for hardware and for integration into internal information systems are indicated. …”
Get full text

Robust and early howling detection based on a sparsity measure by Mina Mounir, Giuliano Bernardi, Toon van Waterschoot

“…Abstract Despite recent advances in audio technology, acoustic feedback remains a problem encountered in many sound reinforcement applications, ranging from public address systems to hearing aids. …”
Get full text

A spiking neural network model of model-free reinforcement learning with high-dimensional sensory input and perceptual ambiguity. by Takashi Nakano, Makoto Otsuka, Junichiro Yoshimoto, Kenji Doya

“…However, most of these models cannot handle observations which are noisy, or occurred in the past, even though these are inevitable and constraining features of learning in real environments. This class of problem is formally known as partially observable reinforcement learning (PORL) problems. …”
Get full text

MEASURING THE EFFICIENCY OF SOCIAL ENTREPRENEURSHIP by A. N. Timokhovich, O. I. Nikuradze

“…The problems of measuring the efficiency of social entrepreneurship have been affected. …”
Get full text

Apocalyptic expectations in modern religious literature of Jehovah's Witnesses and Seventh Day Adventists (comparative description) by Maria Bardyn

“…The relevance of the apocalyptic perspective in the light of the acute problems of the present, in particular, in the context of the global world situation, is indicated. …”
Get full text

Do Some Cases of Anorexia Nervosa Reflect Underlying Autistic-Like Conditions? by C. Gillberg, M. Råstam

“…Three of the 48 girls had histories suggesting high functioning autism and continued to show many features typical of autism. Two further girls had Tourette syndrome and obsessive–compulsive traits in combination with social interaction problems. …”
Get full text

DEVELOPMENT OF VOCATIONAL EDUCATION IN THE CONDITIONS OF WORLD INTEGRATION PROCESSES by Kira B. Prigozhina

“…The methods involve problem and comparative analysis, empirical observation, and data processing. …”
Get full text

Hamming Distance-Based Intuitionistic Fuzzy Artificial Neural Network with Novel Back Propagation Method by John Robinson Peter Dawson, Wilson Arul Prakash Selvaraj

“…An artificial neural network (ANN)-based decision support system model, which aggregates intuitionistic fuzzy matrix data using a recently introduced operator, is developed in this work. Several desirable features related to distance measures of aggregation operators and artificial neural networks, including the backpropagation method, are investigated to support the application of the proposed methodologies to multiple attribute group decision-making (MAGDM) problems using intuitionistic fuzzy information. …”
Get full text