Verspera, du plan d’époque à la visite virtuelle : une fructueuse collaboration interdisciplinaire by Michel Jordan, Delphine Desbourdes, Nicolas Priniotakis, Wassim Swaileh, Benjamin Ringot, Mathieu da Vinha

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A novel approach for breast cancer detection using a Nesterov accelerated adam optimizer with an attention mechanism by Abeer Saber, Tamer Emara, Samar Elbedwehy, Esraa Hassan

“…Traditional disease detection methods often involve manual feature extraction from images, a process requiring extensive expertise from specialists and pathologists. …”
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Prediabetes detection in unconstrained conditions using wearable sensors by Dimitra Tatli, Vasileios Papapanagiotou, Aris Liakos, Apostolos Tsapas, Anastasios Delopoulos

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Single-Shot Optical Multiple-Image Encryption Based on Polarization-Resolved Diffractive Imaging by Xiaoliang He, Hua Tao, Lijuan Zhang, Xiaodong Yuan, Cheng Liu, Jianqiang Zhu

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CAS-SFCM: Content-Aware Image Smoothing Based on Fuzzy Clustering with Spatial Information by Felipe Antunes-Santos, Carlos Lopez-Molina, Maite Mendioroz, Bernard De Baets

“…While the former strategy was ubiquitous in the early years of image processing, the last 20 years have seen an ever-increasing use of the latter, fueled by a combination of greater computational capability and more refined mathematical models. …”
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Properties of the SURE Estimates When Using Continuous Thresholding Functions for Wavelet Shrinkage by Alexey Kudryavtsev, Oleg Shestakov

“…The advantages of these methods lie in their computational efficiency and the ability to adapt to the local features of the estimated function. …”
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Comparative analysis of the DCNN and HFCNN Based Computerized detection of liver cancer by Sandeep Dwarkanth Pande, Pala Kalyani, S Nagendram, Ala Saleh Alluhaidan, G Harish Babu, Sk Hasane Ahammad, Vivek Kumar Pandey, G Sridevi, Abhinav Kumar, Ebenezer Bonyah

“…However, certain difficulties arise during the detection process in CT images due to overlapping structures, such as bile ducts, blood vessels, image noise, textural changes, size and location variations, and inherent heterogeneity. …”
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Rice Appearance Quality Detection Technology Based on Muti-demensional Features by XING Jian, LUO Jia-shun

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Multimodal marvels of deep learning in medical diagnosis using image, speech, and text: A comprehensive review of COVID-19 detection by Md Shofiqul Islam, Khondokar Fida Hasan, Hasibul Hossain Shajeeb, Humayan Kabir Rana, Md. Saifur Rahman, Md. Munirul Hasan, AKM Azad, Ibrahim Abdullah, Mohammad Ali Moni

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Introduction. Pratiques de modélisation du patrimoine : constats et perspectives by Sylvain Laubé, Muriel Guedj

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SELECTION OF LINEAR AND ELLIPTICAL OBJECTS IN THE IMAGE BASED ON THE CALCULATION OF THE CORRELATION COEFFICIENT by V. V. Bulatov

“…Object classification is the root task of image analysis and processing. Recently, this area has paid a lot of attention, since correct recognition of objects in an image is relevant for different areas: robotics, optical inspection of defects in materials and products, analysis of aerospace images, etc. …”
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Optimized Time-domain Feature Extraction for Early Onset Diagnosis of Parkinson Disease From EEG Signals by Delshad Ghavami, Moein Radman, Ali Chaibakhsh

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An empirical method to identify breaking waves by Mauricio Felga Gobbi

“…The method was statistically tested for its ability to correctly identify breaking waves, using the fact that all waves passing the gauge locations along the shoaling process were visually identified and marked as breaking or nonbreaking. …”
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Research on Intelligent Identification Method for Pantograph Positioning and Skateboard Structural Anomalies Based on Improved YOLO v8 Algorithm by Ruihong Zhou, Baokang Xiang, Long Wu, Yanli Hu, Litong Dou, Kaifeng Huang

“…In order to obtain real-time information on the abnormal state of the skateboard in advance, an intelligent defect identification model suitable to be used as a monitoring device for the pantograph skateboard was designed using a computer vision-based intelligent detection technology for pantograph skateboard defects, combined with an improved YOLO v8 model and traditional image processing algorithms such as edge extraction. …”
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Editorial: Women in cognitive neuroscience: 2023 by Valentina Bruno, Rania A. Mekary, Rania A. Mekary

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DSNet enables feature fusion and detail restoration for accurate object detection in foggy conditions by Zhiyong Jing, Zhaobing Chen, Yucheng Shi, Lei Shi, Lin Wei, Yufei Gao

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GHz Optical Time-Stretch Microscopy by Compressive Sensing by Cheng Lei, Yi Wu, Aswin C. Sankaranarayanan, Shih-Min Chang, Baoshan Guo, Naoto Sasaki, Hirofumi Kobayashi, Chia-Wei Sun, Yasuyuki Ozeki, Keisuke Goda

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The Missing Link: Knowledge Management and the Social Dimension of Business-IT Alignment by Rikard Kloth, Gideon Mekonnen Jonathan

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Revisiting X-Ray Afterglows of Jetted Tidal Disruption Events with the External Reverse Shock by Chengchao Yuan, Walter Winter, B. Theodore Zhang, Kohta Murase, Bing Zhang

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Parameterization of the Differences in Neural Oscillations Recorded by Wearable Magnetoencephalography for Chinese Semantic Cognition by Xiaoyu Liang, Huanqi Wu, Yuyu Ma, Changzeng Liu, Xiaolin Ning

“…Precise parameterization of the differences in these oscillations across various semantics from a time–frequency perspective is pivotal for elucidating the mechanisms of brain language processing. The superlet transform and cluster depth test were used to compute the time–frequency representation of oscillatory difference (ODTFR) between neural activities recorded by optically pumped magnetometer-based magnetoencephalography (OPM-MEG) during processing congruent and incongruent Chinese semantics. …”
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