Advanced Learning Technologies for Intelligent Transportation Systems: Prospects and Challenges by Ruhul Amin Khalil, Ziad Safelnasr, Naod Yemane, Mebruk Kedir, Atawulrahman Shafiqurrahman, NASIR SAEED

“…The emphasis lies on the architectural and problem-specific factors that guide the formulation of innovative solutions. …”
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Thinking through the tool: collaborative archaeological bodywork in immersive virtual reality by Giles Spence Morrow, Steven A. Wernke

“…Synchronous scalar experiences that privilege the affordances of architectural space within digital models create opportunities for embodied experience and collaborative dialogue. …”
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TraxVBF: A hybrid transformer-xLSTM framework for EMG signal processing and assistive technology development in rehabilitation by Seyyed Ali Zendehbad, Athena Sharifi Razavi, Marzieh Allami Sanjani, Zahra Sedaghat, Saleh Lashkari

“…Pre-processing and extracting muscle synergy patterns is performed by the Hierarchical Fast Alternating Least Squares (Fast-HALS) algorithm, and key movement points are identified with the Modified MediaPipe algorithm to capture temporal and spatial dynamics with precision using TraxVBF, which is driven by Extended Long Short-Term Memory (xLSTM) and Transformer architectures. This allows the model to predict movement trajectories accurately, enabling motor learning and functional recovery of patients through real time feedback without the expensive hardware. …”
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Assimilation of Sparse Continuous Near‐Earth Weather Measurements by NECTAR Model Morphing by I. A. Galkin, B. W. Reinisch, A. M. Vesnin, D. Bilitza, S. Fridman, J. B. Habarulema, O. Veliz

“…To conduct the assimilation process, NECTAR employs a Hopfield feedback recurrent neural network commonly used in the associative memory architectures. Associative memories mimic human capability to restore full information from its initial fragments. …”
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Building Information Modeling as a Moderator Effects the Relationship Between Sustainability Metrics and Stakeholder Satisfaction by Hisham Noori Hussain Al-Hashimy

“…Through the inclusive coverage of the oil industry, the information can enlighten and guide effective strategies for collaborating with architectural work stakeholders that highlight the importance of oil sector proposals. …”
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Gradient pooling distillation network for lightweight single image super-resolution reconstruction by Zhiyong Hong, GuanJie Liang, Liping Xiong

“…However, these deep methods often exhibit large-scale networks architectures, which are computationally intensive and hardware-demanding, and this limits their practical application in some scenarios (e.g., autonomous driving, streaming media) requiring stable and efficient image transmission with high-definition picture quality. …”
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Comparative Analysis of Vanilla CNN and Transfer Learning Models for Glaucoma Detection by Brendan Ubochi, Abayomi E. Olawumi, John Macaulay, Oyawoye I. Ayomide, Kayode F. Akingbade

“…These models vary in their architectures and their accuracies depend largely on the intrinsic nature of the training datasets used. …”
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The Gǝʿǝz Manuscripts Collection from the Monastery of Däbrä Ṣǝyon (Abunä Abrǝham, Tǝgray, Ethiopia) by Hagos Abrha Abay

“…According to his own gädl, Abunä Abrǝham was not only the founder of the monastery, but was also known to be an active participant and director of the architectural work of the rock-hewn church. It is known that Gärʿalta is endowed with reflections of Aksumite culture, and the monastery of Däbrä Ṣǝyon also seems to have had its own share in its continuation. …”
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Effect of SiC Addition on Microhardness and Relative Density during Selective Laser Melting of 316L Stainless Steel by Raid Mohammed Hadi, Ziad Aeyad Taha

“…The utilization of 316L stainless steel has been very common in marine, automotive, architectural, and biomedical applications due to its adequate corrosion resistance to cracks after the completion of welding process. …”
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Current Trends in Biomaterial Utilization for Cardiopulmonary System Regeneration by Adegbenro Omotuyi John Fakoya, David Adeiza Otohinoyi, Joshua Yusuf

“…However, necessitating their consideration for separate review is the immense adult architectural difference in these systems. This review also looks at details on new biological and synthetic biomaterials, tissue engineering, nanotechnology, and organ decellularization for cardiopulmonary regenerative therapies.…”
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Quantum-Inspired Data Embedding for Unlabeled Data in Sparse Environments: A Theoretical Framework for Improved Semi-Supervised Learning without Hardware Dependence by Shawn Ray

“…In contrast to conventional quantum machine learning methodologies that often rely on quantum hardware, this framework is fully realizable within classical computational architectures, thus bypassing the practical limitations of quantum hardware. …”
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Impacts of PM on Indoor Air Quality of Airport Terminal Buildings in a Core City of North China Plain by Yunting Zhao, Wenhui Zheng, Simeng Ma, Weikai Kong, Bo Han, Jian Yu

“…Due to its unique architectural and operational characteristics, the airport terminal buildings have individual performance of indoor air quality. …”
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Integrating Model‐Informed Drug Development With AI: A Synergistic Approach to Accelerating Pharmaceutical Innovation by Karthik Raman, Rukmini Kumar, Cynthia J. Musante, Subha Madhavan

“…Standardization of model architectures, data formats, and validation processes is imperative to ensure reliable and reproducible results. …”
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Promoter engineering with programmable upstream activating sequences in Aspergillus Niger cell factory by Xiaomei Zheng, Yuting Guo, Meiling Chen, Yudan Lu, Yimou Du, Yu Lei, Ping Zheng, Jibin Sun

“…However, the limited understanding of promoter architectures and activities restricts the efficient transcription regulation of targets in strain engineering in A. niger. …”
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Convolutional neural networks for classifying healthy individuals practicing or not practicing meditation according to the EEG data by X. Fu, S. S. Tamozhnikov, A. E. Saprygin, N. A. Istomina, A. N. Klemeshova, A.  N. Savostyanov

“…Four non-deep convolutional network architectures were developed, trained and tested on samples of 100 people (51 meditators and 49 non-meditators). …”
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Skin Lesion Classification Through Test Time Augmentation and Explainable Artificial Intelligence by Loris Cino, Cosimo Distante, Alessandro Martella, Pier Luigi Mazzeo

“…Additionally, the research investigates the impact of Test Time Augmentation (TTA) on the performance of six Convolutional Neural Network (CNN) architectures, which include models from the EfficientNet, ResNet (Residual Network), and ResNeXt (an enhanced variant of ResNet) families. …”
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Intracellular iron accumulation throughout the progression of sepsis influences the phenotype and function of activated macrophages in renal tissue damage by Mira Hanna, Ahmed M. A. Akabawy, Mohamed Mansour Khalifa, Mohamed Mansour Khalifa, Marawan Abd Elbaset, Reda Abdelnasser Imam, Hanan Seddiek

“…Our results indicated severe renal tissue damage with a progressive increase in serum BUN and creatinine with architectural tissue damage and positive PAS staining. …”
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Weather identification using models based on deep learning by Afroza Nahar, Rifat Al Mamun Rudro, Bakhtiar Atiq Faisal, Md. Faruk Abdullah Al Sohan, Laveet Kumar

“…For this purpose, the top ten accuracy-based deep learning model architectures have been investigated and evaluated. The operation of each model is distinct. …”
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A Review on Person Re-Identification Techniques and Its Analysis by C. Selvan, H. Anwar Basha, K. Meenakshi, Soumyalatha Naveen

“…It delves into three crucial facets; encompassing succinct explanations of video re-ID techniques along with their constraints, pivotal breakthroughs coupled with the technical hurdles faced, and the architectural framework underpinning these developments. …”
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A Comparison of Machine Learning-Based Approaches in Estimating Surface PM_2.5 Concentrations Focusing on Artificial Neural Networks and High Pollution Events by Shijin Wei, Kyle Shores, Yangyang Xu

“…Future research should explore more sophisticated NN architectures with spatial and temporal variations in PM_2.5 to improve the model performance.…”
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