Intelligent Fault Diagnosis Across Varying Working Conditions Using Triplex Transfer LSTM for Enhanced Generalization by Misbah Iqbal, Carman K. M. Lee, Kin Lok Keung, Zhonghao Zhao

“…Fault diagnosis plays a pivotal role in ensuring the reliability and efficiency of industrial machinery. While various machine/deep learning algorithms have been employed extensively for diagnosing faults in bearings and gears, the scarcity of data and the limited availability of labels have become a major bottleneck in developing data-driven diagnosis approaches, restricting the accuracy of deep networks. …”
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Signals of propaganda-Detecting and estimating political influences in information spread in social networks. by Alon Sela, Omer Neter, Václav Lohr, Petr Cihelka, Fan Wang, Moti Zwilling, John Phillip Sabou, Miloš Ulman

“…Their methods include the use of synchronized or individual bots, multiple accounts operated by one social media management tool, or different manipulations of search engines and social network algorithms, all aiming to promote their ideology. While computational propaganda influences modern society, it is hard to measure or detect it. …”
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Enhanced streamflow prediction with SWAT using support vector regression for spatial calibration: A case study in the Illinois River watershed, U.S. by Lifeng Yuan, Kenneth J Forshay

“…The Calibration Uncertainty Procedure (SWAT-CUP) and Sequential Uncertainty Fitting-2 (SUFI-2) algorithms were applied to compare the model performance against SWAT-SVR. …”
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Real-time teleoperation of magnetic force-driven microrobots with a motion model and stable haptic force feedback for micromanipulation by Yasin Cagatay Duygu, Baijun Xie, Xiao Zhang, Min Jun Kim, Chung Hyuk Park

“…This study develops and tests a motion model for microrobots and evaluates two image-based 3D tracking algorithms to improve tracking accuracy in various Newtonian fluids. …”
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Artificial Intelligence in Pathology: Past, Present, and Future Perspectives by Isma Balaj, Sibora Bërdica, Teona Bushati

“…Conclusion: There has been a significant increase in the development and application of AI tools, including image-based algorithms, in pathology services, and they are expected to dominate the field in the coming years. …”
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HMSTNet: A Deep Learning Multimodal Approach for Personalized English Literature Recommendations by Xiaopeng Wang, Xue Liang

“…This research serves to unite conventional recommendation algorithms with English literature reading requirements. …”
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Legal Status of Artificial Intelligence from Quantum-Theoretic Perspective by E. Melnikova, I. Surov

“…Classical AI, in contrast, is limited to algorithmic computation, bound to produce predefined results regardless of its complexity. …”
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Advanced strategies for detecting acid sphingomyelinase deficiency type B with attenuated phenotypes by Thomas Villeneuve, Thibaut Jamme, Robin Schwob, Thierry Levade, Grégoire Prévot

“…This approach combining algorithmic filtering and clinical expertise, could enhance ASMD type B diagnosis.…”
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Predicting tilling and seeding operation times in grain production: A comparison of machine learning and mechanistic models by Luca Scheurer, Tobias Zimpel, Joerg Leukel

“…Field operations management in grain production requires accurate and timely predictions of operation times for machine tasks. While machine learning (ML) is being adopted more widely in operations management, little is known about its ability to predict tilling and seeding operation times. …”
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Employing Streaming Machine Learning for Modeling Workload Patterns in Multi-Tiered Data Storage Systems by Edson Ramiro Lucas Filho, George Savva, Lun Yang, Kebo Fu, Jianqiang Shen, Herodotos Herodotou

“…Recently, different Machine-Learning (ML) algorithms have been used to model access patterns from complex workloads. …”
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Diagnosing Autoimmune Bullous Diseases—An Indian Perspective by Adhyatm Bhandari, Dipankar De, Shikha Shah, Debajyoti Chatterjee, Vinod Kumar, Rahul Mahajan, Sanjeev Handa

“…It also provides with practically applicable diagnostic algorithms for pragmatic diagnosis of AIBDs in Indian scenario.…”
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Development of a neural network model for spatial data analysis by E. O. Yamashkina, S. A. Yamashkin, O. V. Platonova, S. M. Kovalenko

“…Model validation for the EuroSAT dataset algorithmically extended in terms of the geosystem approach allows classification accuracy to be improved under training data shortage within 9% while maintaining the accuracy of ResNet50 and GoogleNet deep learning models.Conclusions. …”
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ROBO-ADVISORS AND AI-DRIVEN FUNDS: CATALYSTS IN THE DYNAMIC EVOLUTION OF ASSET MANAGEMENT by Amirul Ammar Anuar, Mohammad Taqiuddin Mohamad, Ahmad Azam Sulaiman @ Mohamad

“…Robo-advisors automate investor profiling and fund recommendations, whereas AI-driven funds use algorithms for autonomous trading decisions. AI adoption varies among asset management companies (AMCs), with differing levels of integration. …”
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Hybrid CNN-LSTM With Attention Mechanism for Robust Credit Card Fraud Detection by Iman Akour, Nour Mohamed, Said Salloum

“…Our hybrid CNN-LSTM-Attention model improves fraud detection by addressing both spatial and temporal data features while dynamically focusing on critical elements. …”
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From Fourier topology representation to optimal robot: evolution of an ultrahigh performance XYθ z nanopositioner by Zheng Lyu, Zilin Yang, Aiwu Zhou, Kang Tai, Guo Zhan Lum

“…Here we use a unique combination of kinematic analyses and evolutionary algorithms to determine our robot’s optimal geometry in which its structural topology is represented by Fourier basis functions. …”
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Ethical and privacy challenges of integrating generative AI into EHR systems in Tanzania: A scoping review with a policy perspective by Augustino Mwogosi

“…The policy analysis revealed that while Tanzania's AI framework aligns with national health priorities and promotes capacity building and ethical governance, it lacks generative AI-specific guidelines, regulatory clarity and resource mobilisation strategies necessary for healthcare settings. …”
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Network-based diversification of stock and cryptocurrency portfolios by Dimitar Kitanovski, Igor Mishkovski, Viktor Stojkoski, Miroslav Mirchev

“…The Louvain and Affinity propagation algorithms were employed for finding the network communities (clusters) based on annual data. …”
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Harnessing AI and Quantum Computing for Revolutionizing Drug Discovery and Approval Processes: Case Example for Collagen Toxicity by David Melvin Braga, Bharat Rawal

“…In this context, “in silico” describes scientific studies performed using computer algorithms, simulations, or digital models to analyze biological, chemical, or physical processes without the need for laboratory (in vitro) or live (in vivo) experiments. …”
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Efficient Real-Time Pathfinding for Visually Impaired Individuals by Tadeh Ghahremanians, Hossein Mahvash Mohammadi

“…The “demarcation path” captures spatial details with wide channels and shallow layers, while the “path with rich features” extracts categorical semantics using deep layers. …”
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Machine-learning of medical cannabis chemical profiles reveals analgesia beyond placebo expectations by Adi Hatav, Yelena Vysotski, Anna Shapira, Shiri Procaccia, David Meiri, Dvir Aran

“…This result is consistent across all models tested. While well-known cannabinoids such as THC and CBD provide limited predictive value, specific terpenoids, particularly α-Bisabolol and eucalyptol, emerge as key predictors of treatment response. …”
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