A New Model for Enhancing Efficiency in On-Chip Optical ‎Networks Based on Adaptive Routing Algorithm.‎ by Mohammadreza Hemmati, Sayed Mohammad Ali Zanjani, Elham Yaghoubi

“…The simulation results of message delay in the proposed method show a gradient norm equal to 1.1691E-5 and μ = 1E-8 for epoch=280, demonstrating its capability to reduce delay in the network. …”
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The influence of maintaining proper technical condition on the aging of multi-family residential buildings constructed in traditional technology by Grzegorz Wrzesiński, Jan Kowalski, Katarzyna Pawluk, Marzena Lendo-Siwicka

“…The value of the degree of technical wear of selected buildings Sz was similar for visual and time methods.…”
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Еvaluation of Stereo Vision Based on Chromostereopsis in Patients with Strabismus by S. I. Rychkova, V. G. Likhvantseva, R. I. Sandimirov

“…The study is devoted to one of actual problems of modern strabismological — the development of effective methods for evaluation of stereo vision. The purpose: to develop an effective method for evaluating stereopsis based on chromostereopsis (CS) in patients with strabismus. …”
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A Feature-Driven Inception Dilated Network for Infrared Image Super-Resolution Reconstruction by Jiaxin Huang, Huicong Wang, Yuhan Li, Shijian Liu

“…Image super-resolution (SR) algorithms based on deep learning yield good visual performances on visible images. Due to the blurred edges and low contrast of infrared (IR) images, methods transferred directly from visible images to IR images have a poor performance and ignore the demands of downstream detection tasks. …”
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Adversarial Dual-Distortion Image Rectification: Integrating Multi-Scale Discriminators and Central Self-Attention Modules by Jingfeng Luo, Chengwan You, Bochuan Zheng

“…Experimental results demonstrate that, compared to state-of-the-art correction methods, our approach achieves significant improvements in both objective quantitative metrics (e.g., SSIM, PSNR) and visual consistency. …”
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CCT: A Cyclic Co-Teaching Approach to Train Deep Neural Networks With Noisy Labels by Jorge K. S. Kamassury, Henrique Pickler, Filipe R. Cordeiro, Danilo Silva

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A Multimodal Bone Stick Matching Approach Based on Large-Scale Pre-Trained Models and Dynamic Cross-Modal Feature Fusion by Tao Fan, Huiqin Wang, Ke Wang, Rui Liu, Zhan Wang

“…This paper proposes a novel multimodal bone stick matching approach that integrates image, inscription, and archeological information to enhance the accuracy and efficiency of matching fragmented bone stick artifacts. Unlike traditional methods that rely solely on image data, our method leverages large-scale pre-trained models, namely Vision-RWKV for visual feature extraction, RWKV for inscription analysis, and BERT for archeological metadata encoding. …”
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Reversible Adversarial Examples with Minimalist Evolution for Recognition Control in Computer Vision by Shilong Yang, Lu Leng, Ching-Chun Chang, Chin-Chen Chang

“…Compared to state-of-the-art methods, the method maintains high visual fidelity at a comparable attack success rate.…”
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A New Approach for Clustered MCs Classification with Sparse Features Learning and TWSVM by Xin-Sheng Zhang

“…Experiments have shown that performance of the proposed method is more efficient or better than the state-of-art methods.…”
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Class Concept Representation From Contextual Texts for Training-Free Multi-Label Recognition by Dong Un Kang, Hyunwoo Lee, Se Young Chun

“…Experimental results obtained on diverse benchmarks demonstrate that the proposed methods substantially improve the performance of existing zero-shot MLR methods, achieving an average improvement of 9.4% in mean average precision (mAP) over the zero-shot contrastive language-image pretraining (CLIP) method and 2.2% in mAP over the TaI-DPT zero-shot prompt-tuning method. …”
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Robust Portfolio Selection Under Model Ambiguity Using Deep Learning by Sadegh Miri, Erfan Salavati, Mostafa Shamsi

“…The results showcase that our ANN-based method outperforms traditional benchmark methods such as equally weighted portfolio and adaptive mean–variance portfolio selection.…”
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Research and Development of an Algorithm for the Response Time Estimation in Multiprocessor Systems Under the Interval Uncertainty of the Tasks Execution Times by Mark G. Gonopolskiy, Alevtina B. Glonina

“…A set of experiments have been carried out in order to compare the proposed method in terms of precision and speed with two well-known WCRT estimating methods: the method that does not take into account interval uncertainty (assuming that the execution time of a given task is equal to WCET) and the brute force method. …”
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AGCSNet: High-contrast image-exposure correction with automatic illumination-map attention-based gamma and saturation correction by Min-ji Kim, Qikang Deng, DongWon Choo, Hyo Chul Ji, DoHoon Lee

“…We evaluated our method on eight datasets.In comparison with over 20 prior methods, our method demonstrates competi-tive performance with and, in some cases, surpasses state-of-the-art methodsthat are closely aligned with human visual perception.…”
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A new exponentially directional weighted function based CT image denoising using total variation by Manoj Kumar, Manoj Diwakar

“…The proposed scheme is also compared with some standard existing methods and it is observed that performance of proposed scheme is superior to existing methods in terms of visual quality and performance metrics. …”
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Microvascular Ultrasonic Imaging of Angiogenesis Identifies Tumors in a Murine Spontaneous Breast Cancer Model by Sarah E. Shelton, Jodi Stone, Fei Gao, Donglin Zeng, Paul A. Dayton

“…A reader study was used to assess visual discrimination between image types, and quantitative methods utilized metrics of tortuosity and spatial clustering for tumor detection. …”
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Management and Operation Transformation of Urban Park Green Spaces from the Perspectives of Public Goods Provision and Fiscal Sustainability by Peiyi JIA

“…However, recently rising public expectations for equalization of basic public services, are getting a higher priority for local government. …”
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The Effect of The Use of Multicomponent Binder Toxin on Performance, Liver Condition and Quantitative and Qualitative Traits of Eggs at The End of The Production Period of Laying H... by Arash Hadavi, Farogh Kargar

“…The test period included two weeks of equalization and record taking to equalize the treatments and two 28-day periods from 87-91 weeks and 92-95 weeks. …”
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Automated quantification of SARS-CoV-2 pneumonia with large vision model knowledge adaptation by Zhaohui Liang, Zhiyun Xue, Sivaramakrishnan Rajaraman, Sameer Antani

“…Methods: Our method used the pretrained LVMs as the primary feature extractor and self-supervised contrastive learning for domain adaptation. …”
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Amblyopic binocular imbalance quantified by the dichoptic contrast ordering test and dichoptic letters test by Alexandre Reynaud, Marie-Céline Lorenzini, Robert K. Koenekoop, Robert F. Hess, Alex S. Baldwin

“…We find a strong correlation between the results obtained with the two methods. Additionally, we observe strong correlations between the imbalance measured with the two tests and visual acuity and stereopsis. …”
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Deep imaging of LepR+ stromal cells in optically cleared murine bone hemisections by Yuehan Ni, Jiamiao Wu, Fengqi Liu, Yating Yi, Xiangjiao Meng, Xiang Gao, Luyi Xiao, Weiwei Zhou, Zexi Chen, Peng Chu, Dan Xing, Ye Yuan, Donghui Ding, Ge Shen, Min Yang, Ronjie Wu, Ling Wang, Luiza Martins Nascentes Melo, Sien Lin, Xiaoguang Cheng, Gang Li, Alpaslan Tasdogan, Jessalyn M. Ubellacker, Hu Zhao, Shentong Fang, Bo Shen

“…Our method preserves the 3D tissue architecture and is extendable to other hematopoietic sites such as calvaria and vertebrae. …”
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