Evaluating the Impact of Replay-Based Continual Learning on Long-Term sEMG Pattern Recognition in Instance-Incremental Learning by Yuto Okawa, Suguru Kanoga, Takayuki Hoshino, Shin-Nosuke Ishikawa

“…A convolutional neural network was employed as the backbone model. To evaluate the impact of CL methods, a publicly available sEMG dataset comprising 30-day data from five subjects was used. …”
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Embedding and classifying test execution traces using neural networks by Foivos Tsimpourlas, Gwenyth Rooijackers, Ajitha Rajan, Miltiadis Allamanis

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Auto-Probabilistic Mining Method for Siamese Neural Network Training by Arseniy Mokin, Alexander Sheshkus, Vladimir L. Arlazarov

“…These findings highlight the potential effectiveness of the developed loss function and mining method in addressing a wide range of pattern recognition challenges.…”
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Prediction of Vanadium Contamination Distribution Pattern Through Remote Sensing Image Fusion and Machine Learning by Zipeng Zhao, Yuman Sun, Weiwei Jia, Jinyan Yang, Fan Wang

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Evolving treatment patterns and outcomes among patients with metastatic urothelial carcinoma post-avelumab maintenance approval: insights from The US Oncology Network by H. Li, S. Sura, A. Babcock, L. Herms, J. Guo, P. Conkling, S. Franco, P. Singhal, R. Mamtani, M. Bupathi

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The structure of the local detector of the reprint model of the object in the image by A. A. Kulikov

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Revealing Spatiotemporal Urban Activity Patterns: A Machine Learning Study Using Google Popular Times by Mikel Barrena-Herrán, Itziar Modrego-Monforte, Olatz Grijalba

“…Extensive scientific evidence underscores the importance of identifying spatiotemporal patterns for investigating urban dynamics. The recent proliferation of location-based social networks (LBSNs) facilitates the measurement of urban rhythms through geotemporal information, providing deeper insights into the underlying causes of urban vibrancy. …”
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Utilização de redes neurais artificiais para avaliação de produtividade do solo, visando classificação de terras para irrigação Use of artificial neural networks for evaluation of... by Luciana C. Bucene, Luiz H. A. Rodrigues

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Long-Term Monitoring Reveals Changes in the Small Mammal Community Composition and Co-Occurrence Patterns in the Diannan Area of Yunnan, China by Jinyu Yang, Ting Jia, Wanlong Zhu, Xiaomi Yang

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Mapping the scientific structure of organization and management of enterprises using complex networks by Alicia Olivares-Gil, Adrián Arnaiz-Rodríguez, José Miguel Ramírez-Sanz, José Luis Garrido-Labrador, Virginia Ahedo, César García-Osorio, José Ignacio Santos, José Manuel Galán

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EEG-based functional and effective connectivity patterns during emotional episodes using graph theoretical analysis by Majid Roshanaei, Hamzeh Norouzi, Julie Onton, Scott Makeig, Alireza Mohammadi

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From Patterns to Predictions: Spatiotemporal Mobile Traffic Forecasting Using AutoML, TimeGPT and Traditional Models by Hassan Ayaz, Kashif Sultan, Muhammad Sheraz, Teong Chee Chuah

“…In this study, we examine publicly available CDR data from Telecom Italia to explore the spatiotemporal dynamics of mobile network activity in Milan. This analysis reveals key patterns in traffic distribution highlighting both high- and low-demand regions as well as notable variations in usage over time. …”
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Multinational patterns of second line antihyperglycaemic drug initiation across cardiovascular risk groups: federated pharmacoepidemiological evaluation in LEGEND-T2DM by Rohan Khera, Jing Li, Katherine Simon, Yuan Lu, Joseph S Ross, Talita Duarte-Salles, Michael E Matheny, Harlan Krumholz, Kenneth KC Man, Carlen Reyes, Paul Nagy, Nigam Shah, Martijn J Schuemie, Daniel R Morales, Scott L DuVall, Seng Chan You, Jose D Posada, George Hripcsak, Marc A Suchard, Patrick B Ryan, Anna Ostropolets, Michael Cook, Evan Minty, Andrea Pistillo, Clair Blacketer, Arya Aminorroaya, Thomas Falconer, Nestoras Mathioudakis, Jin J Zhou, Can Yin, Kelly Li, Lovedeep Singh Dhingra, Faaizah Arshad, Mary G Bowring, Fan Bu, David A Dorr, Tina E French, Elizabeth E Hanchrow, Scott Horban, Wallis CY Lau, Yuntian Liu, Michael F McLemore, Akihiko Nishimura, Nicole Pratt, Sarah Seager, Eric YF Wan, Jianxiao Yang

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Pattern Matching-Based Denoising for Images with Repeated Sub-Structures by Anil Kumar Mysore Badarinarayana, Christoph Pratsch, Thomas Lunkenbein, Florian Jug

“…To address this problem, we propose a method that uses re-occurring patterns in images. Our proposed method does not require noise-free images for the denoising task. …”
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Designing a Digital Branding Pattern in Healthy Agricultural Products by Abolghasem Mohammadnezhad Ali Zamini, Arezo Ahmadi danyali, Mahmoud Ahmadi Sharif

“…Marin & Nilă (2021) in a research titled Branding in the social network: the use of the LinkedIn network in personal brand communication, investigated the attitude of recruitment and human resources professionals towards the development of a personal brand in LinkedIn and the criteria used in the evaluation of a communication and marketing specialist. …”
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Drilling Rate of Penetration Prediction Based on CBT-LSTM Neural Network by Kai Bai, Siyi Jin, Zhaoshuo Zhang, Shengsheng Dai

“…To address these issues, this study proposes an improved LSTM neural network model for ROP prediction (CBT-LSTM). This model integrates the capability of a two-dimensional convolutional neural network (2D-CNN) for multi-feature extraction, the advantages of bidirectional long short-term memory networks (BiLSTM) for processing bidirectional temporal information, and the dynamic weight adjustment of the time pattern attention mechanism (TPA) for extracting crucial information in BiLSTM, effectively capturing key features in temporal data. …”
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Study on spatial characteristics of coal seam water injection diffusion and fracture network flow patterns based on B-GFP fluorescent bacteria tracing by Dong XIAO, Suping PENG, Xuechen LI, Hailun HE

“…The adsorption behavior of the fluorescent bacteria at various dilution ratios was systematically analyzed, along with their flow patterns within coal seam fractures. The findings provide a new method for evaluating the effectiveness of hydraulic interventions. …”
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Tunable All-Optical Pattern Recognition System Based on Nonlinear Optical Loop Mirror for Bit-Flip BPSK Targets by Ying Tang, Ziyi Kang, Xin Li, Ningjing Liang, Jinyong Chang, Genqing Bian

“…Meanwhile, as new technologies emerge, the security of optical networks is facing serious threats. To improve the security of optical networks, optoelectronic firewalls primarily leverage all-optical pattern recognition to perform direct detection and analysis of data transmitted through the optical network at the optical layer. …”
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Different patterns of pre-excitation in a large Italian cohort of asymptomatic non-competitive athletes evaluated by telecardiology screening: Prevalence and ECG features by Martina Molinari, Sergio Setti, Natale Daniele Brunetti, Nicola Di Nunno, Maria Alberta Cattabiani, Giuseppe Molinari

“…The highest incidence (29 WPW patterns) was observed in the 10–15 year group with an equal sex ratio (M/F:16/13).Intermittent pre-excitation was found in 8 NCAs. …”
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Brain tumor classification using deep convolutional neural networks by M. Nurtay, M. Kissina, A. Tau, A. Akhmetov, G. Alina, N. Mutovina

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