A Semantic Segmentation Method for Remote Sensing Images Based on an Improved TransDeepLab Model by Jinxin Wang, Manman Wang, Kaiwei Cong, Zilong Qin

“…These enhancements allow the model to fully utilize multi-level semantic information and small target details in high-resolution remote sensing images, thereby effectively improving the segmentation accuracy of target objects. …”
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Resolution on the results of scientific-practical conference "Clinical evidence of increasing overall survival in the treatment of metastatic breast cancer", held on 29 November 20... by E. T. Bairamov, A. V. Belonogov, V. V. Brusnichkina, A. V. Bulakh, M. Y. Byahov, S. N. Gurov, G. G. Eremeev, N. V. Zhukov, L. G. Zhukova, L. M. Kogonia, P. V. Koposov, L. K. Ovchinnikova, V. V. Radlevich, E. A. Samyshina, A. P. Seryakov, M. D. Ter-Ovanesov, I. E. Shumskaya

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High-Resolution Mapping of Concentrated Solar Power Site Suitability in Ghardaïa, Algeria: A GIS-Based Fuzzy Logic and Multi-Criteria Decision Analysis by Abdelfetah Belaid, Mawloud Guermoui, Abdelkader Riche, Toufik Arrif, Hamdani Maamar, Cherier Mohamed Kamel, Abdelaziz Rabehi, Mohamad Mahmoud Al Rahhal

“…These findings underscore the significant potential for expanding CSP infrastructure in Ghardaïa, aligning with Algeria’s renewable energy objectives.…”
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A range spread target detection algorithm based on polarimetric features and SVDD by Qiang LI, Yuanxin YAO, Xiangqi KONG

“…Multi-polarization range high resolution radar is an important mean for ground target detection.In the echo formed by it, the target occupies multiple range cells and becomes an extended target.The traditional spread target detection method relies on energy, and the detection performance decreases when the signal-to-clutter ratio decreases.A spread target detection algorithm based on polarization decomposition features was proposed, which improved the detection performance under low signal-to-clutter ratio by using the difference of polarization scattering characteristics between target and clutter.Specifically, 16 kinds of polarization decomposition features were extracted to form feature vectors as detection statistics, and then support vector data description (SVDD) was used to obtain the detection threshold.When training the detection threshold, the polarization decomposition features of clutter were extracted as training data.In order to ensure the false alarm probability, two penalty parameters were introduced into the objective function of SVDD.The experimental results show that the proposed method requires a signal-to-clutter ratio of about 12.6 dB in the case of Gobi background, false alarm probability of 10^-4 and detection probability of 90%, which is about 1.7 dB lower than the energy-based methods.…”
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Strategies for enhancing deep video encoding efficiency using the Convolutional Neural Network in a hyperautomation mechanism by Xiaolan Wang

“…Next, a CNN-based method for variable-resolution intra-frame prediction of depth video is proposed. …”
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Profesionalisme Penyelenggara Adhoc dalam Keberatan Saksi di Tahapan Rekapitulasi Hasil Penghitungan Suara Tingkat Kecamatan by Amrullah Amrullah, Subhilhar Subhilhar, Muryanto Amin

“…To see the form of resolution of the witness' objection, the theory of conflict resolution from Spiegel, Novri Susan, and Ralf Dahrendorf will be used. …”
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Minimum-Run Resolution IV Design for Optimized Bio Removal of Fe²⁺ Using <i>Enteromorpha intestinalis</i> Aqueous Extract and Its Extract-Coated Silver Nanoparticles by Doaa G. El-Hosari, Fatma A. Mokhtar, Hussein A. Khalaf, Ahmed R. N. Ibrahim, Rehab M. Mohamed, Mofida E. M. Makhlof

“…The adsorption properties of the biosorbents were investigated in batch experiments, with a range of factors taken into account, including pH, contact time, initial ion concentrations, biosorbent dosage, and temperature. A minimum-run resolution IV design (MRR-IV) was developed with the objective of optimizing the removal efficiency. …”
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The role of mediation in the activities of law enforcement bodies by V. A. Doroshenko

“…The article is devoted to the study of such an alternative method of dispute resolution as mediation. Mediation is currently a very popular way of resolving conflicts and is beginning to be introduced into all spheres of human life. …”
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Specific Features of the Formation and Development of Mediation in Foreign Countries with Anglo-Saxon and Romano-Germanic Legal Systems by S. S. Myrza

“…In accordance with the purpose and objectives of the research, the author of the scientific work has used a set of methods and techniques of scientific cognition, both general theoretical, special and scientific. …”
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A Stable and High Accurate Numerical Simulator for Convection-Diffusion Equation by Osman Ünal

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Urban Surface Water Mapping from VHR Images Based on Superpixel Segmentation and Target Detection by Qingwei Liu, Yugang Tian, Lihao Zhang, Bo Chen

“…Unfortunately, due to the limitation of spatial resolution, the method based on low&#x002F;medium resolution images is difficult to extract small water bodies accurately. …”
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Humanitarian aid under sanctions: From the problem statement to the search for solutions by L. D. Oganisyan L.D.

“…Its solution, already fraught with a whole complex of objective economic, political and other difficulties, is further complicated by the existing practice of imposing unilateral and multilateral or international sanctions, which have become one of the key instruments of the leading subjects of world politics. …”
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Deep learning models for detection of explosive ordnance using autonomous robotic systems: trade-off between accuracy and real-time processing speed by Vadym Mishchuk, Herman Fesenko, Vyacheslav Kharchenko

“…The objectives are as follows: 1) conduct a comparative analysis of YOLOv8 and RT-DETR image processing models for explosive ordnance (EO) detection, focusing on accuracy and real-time processing speed;2) to explore the impact of different input image resolutions on model performance for identifying the optimal resolution for EO detection tasks;3) to analyze how object size (small, medium, large) affects detection efficiency for enhancing EO recognition accuracy; 4) to develop recommendations for EO detection model configurations; 5) to propose methods for enhancing EO detection model performance in complex environments. …”
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Employees’ training to master digital tools in the process of modeling pedagogical design for work programs in the disciplines’ psychological cycle by O. I. Shcherbakova

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Cartographie des paysages : apport à l’analyse des trames vertes et bleues by Émilie Bourget, Laurence Le Dû-Blayo

“…Remote sensing, linked with a land approach, allows identification and cartography of some differents landscape types, and therefore of the landscape structures, particularly with the object-oriented approach. This method is based on the classification of segmented objects extracted from a high-resolution satellite image. …”
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Mathematical modeling of velocity and accelerations fields of image motion in the optical equipment of the Earth remote sensing satellite by S. Yu. Gorchakov

“…Objectives. The paper considers a satellite with an optoelectronic payload designed to take pictures of the Earth’s surface. …”
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ASD-YOLO: a lightweight network for coffee fruit ripening detection in complex scenarios by Baofeng Ye, Baofeng Ye, Renzheng Xue, Renzheng Xue, Haiqiang Xu, Haiqiang Xu

“…In addition, we introduce SPD-Conv into backbone and head to enhance the detection of occluded small objects and low-resolution images. Finally, we replaced upsampling in our model with DySample, which requires less computational resources and is able to achieve image resolution improvements without additional burden. …”
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Realtime Multispectral Pedestrian Detection With Visible and Far-Infrared Under Ambient Temperature Changing by Masato Okuda, Kota Yoshida, Takeshi Fujino

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Steel surface defect detection and segmentation using deep neural networks by Sara Ashrafi, Sobhan Teymouri, Sepideh Etaati, Javad Khoramdel, Yasamin Borhani, Esmaeil Najafi

“…Based on the obtained results, the U-Net model with pre-trained backbones achieves a Dice Similarity Coefficient of 72%, outperforming existing methods. The object detection model with a resolution of 640 reaches the mean average precision of 49.32% and 35.06% for binary class and multi-class detection, respectively. …”
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Detection of Masses in Mammogram Images Based on the Enhanced RetinaNet Network With INbreast Dataset by Wang M, Liu R, Luttrell IV J, Zhang C, Xie J

“…Keywords: computer-aided diagnosis, deep learning, object detection, RetinaNet, transfer learning…”
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