Logatome and Sentence Recognition Related to Acoustic Parameters of Enclosures by Jedrzej KOCIŃSKI, Edward OZIMEK

“…However, speech recognition was nonlinearly related (according to psychometric function) to STI values. The most sensitive range of the logatome and sentence recognition relative to STI changes corresponded to the middle range of STI values. …”
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Effectiveness of the Spatial Domain Techniques in Digital Image Steganography by Rosshini Selvamani, Yusliza Yusoff

“…In addition to using statistics as a foundation, convolution neural networks (CNN), generative adversarial networks (GAN), coverless approaches, and machine learning are all used to construct steganographic methods. …”
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A YOLOv8 algorithm for safety helmet wearing detection in complex environment by Chunning Song, Yinzhong Li

“…Abstract Helmets are the most common protective equipment on construction sites and can effectively reduce head injuries caused by falling objects. …”
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A Combined Deep CNN: LSTM with a Random Forest Approach for Breast Cancer Diagnosis by Almas Begum, V. Dhilip Kumar, Junaid Asghar, D. Hemalatha, G. Arulkumaran

“…The most predominant kind of disease that is normal among ladies is breast cancer. …”
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Efficiency of blind source separation in a real room by Paweł Libiszewski, Jędrzej Kociński

“…The performance of such algorithms are most often described by means of the increase in signal-tonoise ratio, SNR. …”
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Saliency Aggregation: Multifeature and Neighbor Based Salient Region Detection for Social Images by Ye Liang, Congyan Lang, Jian Yu, Hongzhe Liu, Nan Ma

“…The popularity of social networks has brought the rapid growth of social images which have become an increasingly important image type. One of the most obvious attributes of social images is the tag. …”
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A Novel Traffic Flow Forecasting Method Based on RNN-GCN and BRB by Hailong Zhu, Yawen Xie, Wei He, Chao Sun, Kaili Zhu, Guohui Zhou, Ning Ma

“…Traffic flow forecasting provides a reliable traffic dispatch basis for intelligent transport, and most of the existing prediction methods only predict a single saturation or speed and do not use the saturation and speed in a unified way. …”
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”Discrimination Against Children” in the Light of Landmark Decisions of the European Court of Human Rights and the Us Supreme Court by Peri Uran Murphy

“…One of the most significant and convoluted issues regarding the international protection of human rights is the right to non-discrimination. …”
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A Real-Time Green and Lightweight Model for Detection of Liquefied Petroleum Gas Cylinder Surface Defects Based on YOLOv5 by Burhan Duman

“…In resource-constrained devices, real-time speed, accuracy, and computational efficiency are the most critical requirements for defect detection. …”
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A multimodal deep learning model with differential evolution-based optimized features for classification of power quality disturbances by Md Nurul Islam

“…Differential evolution is used as an optimization tool to select the most relevant features and reduce the computational time. …”
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Soft-Sediment Deformation Structures Interpreted as Seismites in the Kolankaya Formation, Denizli Basin (SW Turkey) by Savaş Topal, Mehmet Özkul

“…Field data and the wide lateral extent of the structures as well as regional geological data show that most of the deformation is related to seismicity and the structures are interpreted as seismites. …”
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A novel anomaly detection method for multimodal WSN data flow via a dynamic graph neural network by Qinghao Zhang, Miao Ye, Xiaofang Deng

“…Anomaly detection is a critical technique that ensures the reliability of WSNs. However, most existing anomaly detection methods only consider the case of single modal data flow anomaly detection for each node or multiple modal time series data flow anomaly detection for a single node and do not consider the case of multiple nodes and multiple time series data flow simultaneously,and it limited the ability of anomaly detection. …”
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A Novel Pseudo-Siamese Fusion Network for Enhancing Semantic Segmentation of Building Areas in Synthetic Aperture Radar Images by Mengguang Liao, Longcheng Huang, Shaoning Li

“…Compared to traditional methods, deep learning-driven approaches exhibit superiority in the aspect of stability and efficiency. Currently, most segmentation methods use a single neural network to encode SAR images, then decode them through interpolation or transpose convolution operations, and finally obtain the segmented building area images using a loss function. …”
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YOLO-RDM: A high accuracy and efficient algorithm for magnetic tile surface defect detection with practical applications. by Wei Niu, Cheng Lv, Enxu Zhang, Zhongbin Wei

“…By using a lightweight convolution method, we replace the traditional convolution in the original network, thereby improving the feature extraction ability of the model and achieving lightweight processing. …”
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HMA-Net: a hybrid mixer framework with multihead attention for breast ultrasound image segmentation by Soumya Sara Koshy, L. Jani Anbarasi

“…IntroductionBreast cancer is a severe illness predominantly affecting women, and in most cases, it leads to loss of life if left undetected. …”
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Kidneys and adrenal glands of Caiman yacare (Daudin, 1802) (Crocodylia: Alligatoridae): morphology and morphometry by MARIANA O. LIMA, LEONARDO L. GORZA, EDUARDO JOSÉ S. BORGES, YHURI C. NÓBREGA, LEONARDO O. TRIVILIN, RODRIGO G. FIGUEIREDO, MARIA APARECIDA DA SILVA

“…Morphometric analyzes revealed that male kidneys exceeds female kidneys in most macroscopic biometric dimensions. The diameter of the renal corpuscles for both sexes was greater in the caudal portion of the right kidney, and in the middle portion of the left kidney, for males.…”
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Safeguarding the Integrity of Online Social Networks (OSN): Leveraging the Efficacy of Conv-LSTM-Based Siamese Network to Predict Hate Speech in Low Resource Hindi-English Code-Mix... by Shankar Biradar, Sunil Saumya, Sanjana Kavatagi

“…We propose a Convolution-LSTM network that incorporates spatial and temporal features. …”
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WEDM: Wavelet-Enhanced Diffusion with Multi-Stage Frequency Learning for Underwater Image Enhancement by Junhao Chen, Sichao Ye, Xiong Ouyang, Jiayan Zhuang

“…Underwater image enhancement (UIE) is inherently challenging due to complex degradation effects such as light absorption and scattering, which result in color distortion and a loss of fine details. Most existing methods focus on spatial-domain processing, often neglecting the frequency-domain characteristics that are crucial for effectively restoring textures and edges. …”
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Backdoor Defence for Voice Print Recognition Model Based on Speech Enhancement and Weight Pruning by Jiawei Zhu, Lin Chen, Dongwei Xu, Wenhong Zhao

“…Voice print recognition is one of the most mature biometric authentication technologies, and the application of deep neural networks (DNNs) has led to a significant improvement in the accuracy of voice print recognition. …”
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Soft-sediment Deformation Structures and Sand Body Architecture in the Chang 6 Oil Member of the Upper Triassic Yanchang Formation, Southwestern Ordos Basin, China by Qingshao Liang, Jingchun Tian, Feng Wang, Xiang Zhang

“…In the Huachi-Qingyang (H-Q) area of the Ordos Basin, the Chang6 oil member of the Upper Triassic Yanchang Formation is among the most significant Mesozoic oil-bearing strata. It is characterized by the development of reservoir sand bodies. …”
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