Inferring causal protein signalling networks from single‐cell data based on parallel discrete artificial bee colony algorithm by Jinduo Liu, Jihao Zhai, Junzhong Ji

“…The experimental results on several simulated datasets, as well as a previously published multi‐parameter fluorescence‐activated cell sorter dataset, indicate that PDABC surpasses the existing state‐of‐the‐art methods in terms of performance and computational efficiency.…”
Get full text

MDRN: Multi-distillation residual network for efficient MR image super-resolution by Liwei Deng, Jingyi Chen, Xin Yang, Sijuan Huang

“…Comprehensive experiments demonstrate the superiority of our MDRN over state-of-the-art methods in reconstruction quality and efficiency. …”
Get full text

Das valas comuns aos direitos humanos: a descoberta dos desaparecimentos forçados na Espanha contemporânea by Francisco Ferrándiz

“…The ethnography has been carried out in different research scenarios: exhumations, commemorative rituals, academic conferences on memory, teach-ins, demonstrations, book presentations, music concerts, NGOs for the 'recovery of historical memory', different working teams with institutional support, forensic laboratories, art exhibits and so forth. It explores the way in which transnational Human Rights discourses and concepts have been steadily being translated into the Spanish case, becoming one basic guide for action for many of the civil associations, as debates have grown in intensity and depth. …”
Get full text

Writer identification and writer retrieval based on NetVLAD with Re‐ranking by Shervin Rasoulzadeh, Bagher BabaAli

“…Results indicate that while the performance was comparable to the state‐of‐the‐art KHATT, the writer identification and writer retrieval pipeline achieve superior performance on the ICDAR 2013 and CVL datasets in terms of mAP.…”
Get full text

Fault Diagnosis in a Centrifugal Pump Using Active Magnetic Bearings by Rainer Nordmann, Martin Aenis

“…Based on these functions, a model-based fault detection and diagnosis is developed which facilitates the detection of faults compared to state-of-the-art diagnostic tools which are only based on the measurement of the systems outputs, i.e., displacements. …”
Get full text

EM BUSCA DE UM SABER PERDIDO: CONTRIBUIÇÃO DA ERGONOMIA PARA A CONCEPÇÃO DA OFICINA DE DESENHO RENDA DE BILRO by Maria Christine Werba Saldanha, Juliana Donato de Almeida

“…O domínio do desenho da renda possibilitou a expressão da criatividade das artesãs, a ampliação do acervo e a inovação de produtos, buscando promover o desenvolvimento sustentável e reduzindo os riscos de extinção da arte na Vila de Ponta Negra, Natal- RN.…”
Get full text

O pesquisador-cineasta e a ética dos olhares compartilhados by Solange Jobim e Souza

“…A filosofia da linguagem de Mikhail Bakhtin, o debate pioneiro instaurado por Walter Benjamin sobre as transformações da arte na época da reprodução técnica, o cinema documentário de Eduardo Coutinho e a obra teórica e cinematográfica de Pasolini são as principais referências. …”
Get full text

A Pedaling Torque Observation Approach for Sensorless Electric Bicycles by Riccardo Mandriota, Niklas Konig, Emanuele Grasso, Matthias Nienhaus

“…Differently from the current state-of-the-art, the estimation performances are not only expressed in terms of pedaling torque estimation error minimization. …”
Get full text

Improving Monocular Depth Estimation Through Knowledge Distillation: Better Visual Quality and Efficiency by Chang Yeop Lee, Dong Ju Kim, Young Joo Suh, Do Kyung Hwang

“…To validate the effectiveness of the proposed framework, extensive comparative evaluations were performed using state-of-the-art models, including AdaBins, LocalBins, BinsFormer, PixelFormer, and ZoeDepth. …”
Get full text

Optimal Pattern Synthesis of Linear Antenna Array Using Grey Wolf Optimization Algorithm by Prerna Saxena, Ashwin Kothari

“…Various examples are presented that illustrate the application of GWO for linear array optimization and, subsequently, the results are validated by benchmarking with results obtained using other state-of-the-art nature-inspired evolutionary algorithms. The results suggest that optimization of linear antenna arrays using GWO provides considerable enhancements compared to the uniform array and the synthesis obtained from other optimization techniques.…”
Get full text

Multifault Diagnosis of Rolling Element Bearings Using a Wavelet Kurtogram and Vector Median-Based Feature Analysis by Phuong H. Nguyen, Jong-Myon Kim

“…The performance of the proposed methodology is tested and validated under various bearing fault conditions on an experimental test rig and compared with conventional state-of-the-art approaches. The proposed bearing fault diagnosis methodology yields average classification accuracies of 91.11%, 96.67%, 98.89%, 99.44%, and 98.61% at rotational speeds of 300, 350, 400, 450, and 500 rpm, respectively.…”
Get full text

Embedding-based pair generation for contrastive representation learning in audio-visual surveillance data by Wei-Cheng Wang, Sander De Coninck, Sam Leroux, Pieter Simoens

“…Our approach reaches similar performance as state-of-the-art modality- and task-specific approaches.…”
Get full text

Deep Learning-Enabled Integration of Histology and Transcriptomics for Tissue Spatial Profile Analysis by Yongxin Ge, Jiake Leng, Ziyang Tang, Kanran Wang, Kaicheng U, Sophia Meixuan Zhang, Sen Han, Yiyan Zhang, Jinxi Xiang, Sen Yang, Xiang Liu, Yi Song, Xiyue Wang, Yuchen Li, Junhan Zhao

“…This enhancement enables more accurate gene expression analysis and aids in identifying prognostic marker genes, outperforming state-of-the-art deep learning methods with a total improvement of up to 49.72%. …”
Get full text

BANNMDA: a computational model for predicting potential microbe–drug associations based on bilinear attention networks and nuclear norm minimization by Mingmin Liang, Xianzhi Liu, Juncai Li, Qijia Chen, Bin Zeng, Zhong Wang, Jing Li, Lei Wang

“…Finally, we implemented 5-fold cross-validation frameworks to evaluate the prediction performance of BANNMDA.Results and discussionThe experimental results indicated that BANNMDA outperformed state-of-the-art competitive methods. We conducted case studies on well-known drugs such as the Amoxicillin and Ceftazidime, as well as on pathogens such as Bacillus cereus and Influenza A virus, to further evaluate the efficacy of BANNMDA, and experimental outcomes showed that there were 9 out of the top 10 predicted drugs, along with 8 and 9 out of the top 10 predicted microbes having been corroborated by relevant literatures. …”
Get full text

Building extraction from unmanned aerial vehicle imagery using Mask-RCNN (case study: Institut Teknologi Sepuluh Nopember, Surabaya) by Ramadhani Anisa, Alya Nurul Fitri

“…In this paper, a dataset consisting of aerial photography images acquired by aircraft in the urban and educational area of Institut Teknologi Sepuluh Nopember Surabaya to explore the potential of using Mask R-CNN, the art model, for instance, segmentation to automatically detect building footprints, which are essential attributes that define the urban fabric (which is critical to accelerating land cover updates with high highly accurate in terms of area and spatial assessment). …”
Get full text

Diagnostic classification in toxicologic pathology using attention-guided weak supervision and whole slide image features: a pilot study in rat livers by Philip Zehnder, Jeffrey Feng, Trung Nguyen, Philip Shen, Ruth Sullivan, Reina N. Fuji, Fangyao Hu

“…We propose an innovative weakly supervised learning method that leverages minimal annotations, a state-of-the-art self-supervised vision transformer for embedding extraction, and a novel guided attention mechanism that is better suited for heavily imbalanced datasets typical in toxicologic pathology. …”
Get full text

LCMorph: Exploiting Frequency Cues and Morphological Perception for Low-Contrast Road Extraction in Remote Sensing Images by Xin Li, Shumin Yang, Fan Meng, Wenlong Li, Zongchi Yang, Ruoyu Wei

“…Experiments demonstrate that our method achieves state-of-the-art performance in terms of F1 score and IoU on the self-constructed low-contrast road dataset (LC-Roads), as well as the public DeepGlobe and Massachusetts Roads datasets.…”
Get full text

A Rough Penalty Genetic Algorithm for Multicast Routing in Mobile Ad Hoc Networks by Chih-Hao Lin, Chia-Chun Chuang

“…The RPGA is evaluated on three multicast scenarios and compared with two state-of-the-art methods in terms of cost, success rate, and time complexity. …”
Get full text

Comparative Analysis of Traditional and Modern NLP Techniques on the CoLA Dataset: From POS Tagging to Large Language Models by Abdessamad Benlahbib, Achraf Boumhidi, Anass Fahfouh, Hamza Alami

“…Our experiments show a clear improvement in performance as models evolve from traditional to more advanced approaches. Notably, state-of-the-art (SOTA) results were obtained by fine-tuning GPT-4o with extensive hyperparameter tuning, including experimenting with various epochs and batch sizes. …”
Get full text

A Satellite Observation Data Transmission Scheduling Algorithm Oriented to Data Topics by Hao Chen, Baorong Zhai, Jiangjiang Wu, Chun Du, Jun Li

“…Quantitative experimental results show that the proposed algorithm is more effective to solve the satellite observation data topic transmission scheduling problem than that of the state-of-the-art approaches.…”
Get full text