Fault tolerance in distributed systems using deep learning approaches. by Basem Assiri, Abdullah Sheneamer

“…In addition, deep learning model enables processing data to find patterns, which helps in classification, regression, prediction, and clustering. …”
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Psycholinguistic Aspects of Focalization in a Paradigm of Narrative Discours by Ernest Ivashkevych

“…The author of this article described his own version of comic comprehension processing, which is based on the knowledge of various narrative schemes, constantly changing the source data and obtaining the new information. …”
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From Neural Networks to Emotional Networks: A Systematic Review of EEG-Based Emotion Recognition in Cognitive Neuroscience and Real-World Applications by Evgenia Gkintoni, Anthimos Aroutzidis, Hera Antonopoulou, Constantinos Halkiopoulos

“…Discussion: These challenges include developing adaptive, real-time processing algorithms, integrating EEG with other inputs like facial expressions and physiological sensors, and a need for standardized protocols for emotion elicitation and classification. …”
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Foundation models in plant molecular biology: advances, challenges, and future directions by Feng Xu, Tianhao Wu, Qian Cheng, Xiangfeng Wang, Jun Yan

“…The review then focuses on plant-specific FMs such as GPN, AgroNT, PDLLMs, PlantCaduceus, and PlantRNA-FM, which address challenges that are widespread among plant genomes, including polyploidy, high repetitive sequence content, and environment-responsive regulatory elements, alongside universal FMs like GENERator and Evo 2, which leverage extensive cross-species training data for sequence design and prediction of mutation effects. …”
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Application of machine learning algorithms in economic analysis by Mohammad Sadegh SALEM

“…These tasks require high computational accuracy and large-scale data processing, making classical systems time-consuming and costly. …”
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Classification and Recognition of Fish Farming by Extraction New Features to Control the Economic Aquatic Product by Yizhuo Zhang, Fengwei Zhang, Jinxiang Cheng, Huan Zhao

“…New opportunities in addition to challenges can be created according to this change for helping data processing in the smart fish farm. This study focuses on deep learning applications and how to support different activities in aquatic like identification of the fish, species classification, feeding decision, behavior analysis, estimation size, and prediction of water quality. …”
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Fast segmentation of stained nuclei in terabyte-scale, time resolved 3D microscopy image stacks. by Johannes Stegmaier, Jens C Otte, Andrei Kobitski, Andreas Bartschat, Ariel Garcia, G Ulrich Nienhaus, Uwe Strähle, Ralf Mikut

“…We achieve an up to ten-fold decrease in processing times, allowing us to process large data sets while still providing reasonable segmentation results.…”
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Challenges and opportunities with ChatGPT in oral oncology: The journey ahead by Ribwar Arsalan Mohammed, Sirwan Khalid Ahmed

“…ChatGPT's use of natural language processing enables it to analyze complex medical data, aiding in early cancer detection and personalized treatment planning based on evidence-based guidelines. …”
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Traffic Incident Duration Prediction: A Systematic Review of Techniques by Artur Grigorev, Adriana-Simona Mihaita, Fang Chen

“…Future research directions proposed include the following: (1) development of data fusion models that integrate heterogeneous datasets of incident reports for enhanced predictive modeling; (2) utilization of natural language processing (NLP) to extract contextual information from textual incident reports; and (3) implementation of advanced ML pipelines that incorporate anomaly detection, hyperparameter optimization, and sophisticated feature selection techniques. …”
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Machine Learning Optimization and Challenges in Used Car Price Prediction by Zheng Yufan

“…To begin with, models like XGBoost and Random Forest excel at processing large-scale data and identifying complex feature patterns, thanks to their ability to use an ensemble of decision trees to reduce bias and variance. …”
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Stationarity assessment of resting state condition via permutation entropy on EEG recordings by Alessio Perinelli, Leonardo Ricci

“…The method can be applied to other kinds of electrophysiological data, like magnetoencephalographic recordings. In addition, provided that suitable hardware and software processing units are used, the implementation of the method can be translated into a real time one.…”
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Examining Deep Learning Techniques for Ethical Artificial Intelligence: Cleansing Malicious Comments from Users by Ji Woong Yoo, Kyoung Jun Lee, Arum Park

“…Specifically, we investigated the collection and processing of news comment data using Long Short-Term Memory (LSTM) algorithm and Word2Vec model. …”
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Multimodal attention fusion deep self-reconstruction presentation model for Alzheimer’s disease diagnosis and biomarker identification by Shan Huang, Yixin Liu, Jingyu Zhang, Yiming Wang

“…First, multimodal brain imaging data are processed through a novel histogram-matching multiple attention mechanisms to dynamically adjust the weight of each input brain image data. …”
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Nepalese EFL Teachers’ Digital Literacy for Online Teaching by Mohan Singh Saud

“…This study found that secondary school-level English teachers possess the necessary digital literacy skills like word processing, the use of the Internet, downloading, online presentations, and hence, are prepared for an online teaching mode.…”
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Application of Blockchain in Corporate Governance: Adaptability, Challenges and Regulation in BRICS by S. Kanojia

“…Think about how personal computers and smartphones are becoming more powerful and smaller, how the Internet has spread throughout the world and led to the emergence of new forms of social interaction, and how there is always access to massive volumes of automated algorithms processing cloud-based data that is utilised in a number of settings. …”
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A Review on Potential Issues and Challenges in MR Imaging by Srinivasan Kathiravan, Jagannathan Kanakaraj

“…Moreover, the concept behind the data processing system and the challenges related to it were also depicted. …”
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Analysis of Internet Marketing Forecast Model Based on Parallel K-Means Algorithm by Xiaolei Chen, Sikun Ge

“…Some shortcomings of the mean clustering algorithm have been specifically improved. By standardizing the data participating in the clustering, the data participating in the clustering is transformed from an irregular distribution to a cluster-like distribution, thereby facilitating the clustering process. …”
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Remote monitoring of patients with obstructive sleep apnea syndrome treated with CPAP: a feasibility study by Amélie Hediger-Parolini, Florian Charbonnier, Stéphane Grandin, Hiromitsu Takahashi, Fabian Braun, Mathieu Lemay, Roger Hilfiker, Sandra Van den Broecke, Olivier Contal

“…Data synchronization and processing were conducted using a dedicated Python script. …”
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Efficient UAV-Based Automatic Classification of Cassava Fields Using K-Means and Spectral Trend Analysis by Apinya Boonrang, Pantip Piyatadsananon, Tanakorn Sritarapipat

“…The classification maps generated by this method achieved high kappa coefficients of 0.96, with accuracy levels comparable to supervised methods like Random Forest classification. This technique offers significant reductions in processing time compared to traditional methods and does not require training data, making it adaptable to different cassava fields captured by various UAV-mounted optical sensors. …”
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SkinHealthMate app: An AI-powered digital platform for skin disease diagnosis by Amina Aboulmira, Mohamed Lachgar, Hamid Hrimech, Aboudramane Camara, Charafeddine Elbahja, Amine Elmansouri, Yassine Hassini

“…This ensemble model improves disease classification performance through advanced image processing techniques such as noise reduction and data augmentation. …”
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