Adaptive Video Anomaly Detection by Attention-Based Relational Knowledge Distillation by Burcak Asal, Ahmet Burak Can

“…In order to realize these concepts, we propose a unique attention mechanism with feature and relation based knowledge distillation methods. We adapted our knowledge distillation methods to two state-of-the-art models designed for anomaly detection task. …”
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An IMU-Based Machine Learning System for Container Collision Position Identification by Xin Zhang, Zihan Song, Do-Myung Park, Byung-Kwon Park

“…The accurate identification of collision positions on containers is critical in logistics and trade for enhancing cargo safety and determining accident liability. Traditional visual inspection methods are labor-intensive, time-consuming, and costly. …”
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Cemeteries as places of memory: Media presentation and cultural significance by Maria A. Belyaeva, Ekaterina K. Osadchaia

“…As a result of theoretical analysis of scientific works of domestic and foreign authors, the article presents a classification of cemeteries as places of memory on six grounds: depending on the symbolic means of encoding fragments of the urban past; based on the methods of localization in urban space; methods of origin; level of social significance; types of identification objects on which the symbolic connection with the place of memory is built; methods of symbolic connection between the place of memory and an event of the past. …”
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Hourglass attention for image super-resolution by Ling Xu, Yian Huang, Xiaoping Lin

“…Extensive experiments on public datasets show that HGFormer outperforms existing methods in both objective metrics and visual quality.…”
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Fitting and comparing competing models of the species abundance distribution: assessment and prospect by Thomas J Matthews, Robert J Whittaker

“…We argue that it is time for SAD studies to move away from many of the traditional methods available for fitting and evaluating models, such as sole reliance on the visual examination of plots, and embrace statistically rigorous techniques. …”
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Novel Multimodal Fusion Algorithm for Non-Intrusive Anxiety Detection by Mahir Shadid, Mushfiqus Salehin Afnan, Rashed Mustafa, M. Jamshed Alam Patwary

“…TI-Fusion is a novel late multimodal fusion technique that integrates text and image data for a unified reliable outcome, overcoming limitations in existing methods. The primary advantage of TI-Fusion is its non-intrusive nature, ensuring patient comfort by avoiding invasive methods while still delivering robust diagnostic capabilities. …”
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Multimodal GRU with directed pairwise cross-modal attention for sentiment analysis by Zhenkai Qin, Qining Luo, Zhidong Zang, Hongpeng Fu

“…Abstract Multimodal sentiment analysis combines text, audio, and visual signals to understand human emotions. However, current methods often face challenges in handling asynchronous signals and capturing long-term dependencies between different modalities. …”
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Assessment of the breast volume by a new simple formula by El-Oteify Mahmoud, Abdel Megeed Hosnia, Ahmed Bothaina, El-Shazly Mahmoud

“…Previous methods to measure breast volume have included use of a simple bra and breast cup size, cumbersome fluid displacement, appliances and approximate visual estimation. …”
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Assessing the quality of angiographic display of brain blood vessels aneurysms compared to intraoperative state by Nikolić Igor M., Tasić Goran M., Jovanović Vladimir T., Repac Nikola R., Janićijević Aleksandar M., Šćepanović Vuk D., Nestorović Branislav D.

“…Clear visibility of the neck, the position of the aneurysm and surrounding structures are necessary for a proper choice of methods for excluding the aneurysm from the circulation. …”
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Facial Feminization Surgery: A Review of 220 Consecutive Patients by Parag Shashank Telang

“…There are prominent differences between the male and the female facial anatomy (bony and soft tissue) which can be surgically altered to change the visual perception of the face. Methods The author presents the method used at his center for treating 220 patients of gender incongruence requesting FFS from June 2016 to June 2019. …”
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Fine-Tuning Models for Histopathological Classification of Colorectal Cancer by Houda Saif ALGhafri, Chia S. Lim

“…To validate the models’ decision-making and improve transparency, we integrated Grad-CAM to provide visual explanations that influence classification decisions. …”
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The Potential of a Laser-Aspiration Solution for Refractive Lens Exchange by D. E. Arakelyan, S. Yu. Kopaev, I. A. Il’inskaya, V. V. Pominova

“…And also about possible methods of minimization of ultrasound load during the surgery.Purpose. …”
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Effectiveness of low level laser therapy in the treatment of TMD myalgia - Two case reports by Heleine Maria Chagas Rêgo, Natalia Cortez Gutierrez, Maria Ângela Lacerda Rangel Esper, Pedro Henrique Corazza, Carolina da Silva Machado Martinelli, Fernanda Campos, Carlos Rocha Gomes Torres, Sérgio Eduardo de Paiva Gonçalves

“…Laser was punctually applied on masseter and temporalis muscles bilaterally. Three methods were used to evaluate the effectiveness of treatment: pressure algometer, visual analog scale (VAS) and maximal mouth opening. …”
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Building rooftop extraction from high resolution aerial images using multiscale global perceptron with spatial context refinement by Qinglie Yuan

“…Overall, quantitative analysis and visual experiments confirmed that the proposed model is more efficient and superior to other state-of-the-art methods, with a 95.18% F1 score on the WHU dataset and a 93.29% F1 score on the Massub dataset.…”
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RETRACTED ARTICLE: Chinese English language learners’ vocabulary retention: Investigating the effectiveness of neuro/metacognitive and socio-cultural strategies by Wei Hu, Yipeng Luo

“…The experimental group (n = 45) received instruction involving visual imagery, multisensory rotation, circle rotation, and mind mapping over eight sessions, while the control group (n = 45) received traditional teaching methods. …”
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FDI-VSR: Video Super-Resolution Through Frequency-Domain Integration and Dynamic Offset Estimation by Donghun Lim, Janghoon Choi

“…Extensive experiments on the Vid4, SPMCs, REDS4, and UDM10 benchmarks, supported by detailed ablation studies, demonstrate that FDI-VSR not only surpasses conventional VSR methods but also achieves competitive results compared to recent state-of-the-art methods, with improvements of up to 0.82 dB in PSNR on the SPMCs benchmark and notable reductions in visual artifacts, all while maintaining lower computational complexity and faster inference.…”
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Analysis of Microplastics in Industrial Processes—Systematic Analysis of Digestion Efficiency of Samples from Forestry, Wastewater Treatment Plants and Biogas Industries by Blaž Hrovat, Emilia Uurasjärvi, Arto Koistinen

“…The effects of selected enzymes were studied systematically to develop a basis for digestion protocols on industrial samples. Further, different methods of detection (micro FTIR and Raman) were compared to each other, and the samples were visually examined using SEM. …”
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Analysis of Posters for Informing the Population via Social Media during Covid-19: Ukrainian Network by Даніїл Шматков, Марія Луіса Загалас-Санчес, Хав'єр Кашон-Загалас

“…This study aims to determine the extent to which psycholinguistic variables are included in the analysis of the quality of directive posters on social media during Covid-19. Methods. The methods used in the study include analysis of the relevant scientific literature on the identification of psycholinguistic categories and variables relevant to the study; expert assessment of qualitative parameters of posters published on Facebook by official organizations; methods of descriptive statistics. …”
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A Multi-Stage Progressive Pansharpening Network Based on Detail Injection with Redundancy Reduction by Xincan Wen, Hongbing Ma, Liangliang Li

“…The effectiveness of the proposed model is further supported by experimental results using both simulated data and real data from the QuickBird, GaoFen1, and WorldView2 satellites; these results show that the proposed model outperforms deep-learning-based methods in both visual and quantitative assessments. …”
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Transductive zero-shot learning via knowledge graph and graph convolutional networks by Qiong Li, Xin Sun, Junyu Dong

“…Abstract Zero-shot learning methods are used to recognize objects of unseen categories. …”
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