Advancing privacy-aware machine learning on sensitive data via edge-based continual µ-training for personalized large models by Zhaojing Huang, Leping Yu, Luis Fernando Herbozo Contreras, Kamran Eshraghian, Nhan Duy Truong, Armin Nikpour, Omid Kavehei

“…The research acknowledges limitations such as the limited exploration of loss functions in multi-label models and constraints in architectural design, suggesting potential avenues for future investigation. …”
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Hierarchical Feature Attention Learning Network for Detecting Object and Discriminative Parts in Fine-Grained Visual Classification by A. Yeong Han, Kwang Moo Yi, Kyeong Tae Kim, Jae Young Choi

“…Further, our framework is implemented as an architectural constraint, eliminating the need for object or part-level annotations in a weakly supervised detection manner. …”
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Physics-Based Compact Model of Independent Dual-Gate BEOL-Transistors for Reliable Capacitorless Memory by Lihua Xu, Kaifei Chen, Zhi Li, Yue Zhao, Lingfei Wang, Ling Li

“…Capacitorless DRAM architectures based on Back-End-of-Line (BEOL)-transistors are promising for long-retention, high-density and low-power 3D DRAM solutions due to its low leakage, operational flexibility, and monolithic integration capability. …”
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LMF-Net: A Learnable Multimodal Fusion Network for Semantic Segmentation of Remote Sensing Data by Jihao Li, Wenkai Zhang, Weihang Zhang, Ruixue Zhou, Chongyang Li, Boyuan Tong, Xian Sun, Kun Fu

“…However, the majority of current approaches commonly focus more on feature mixing and construct relatively complex architectures. The further mining for cross-modal features is comparatively insufficient in heterogeneous data fusion. …”
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Bioelectronic osteosynthesis plate to monitor the fracture bone healing using electric capacitive variations by Diogo G. Pires, Nuno M. Silva, A. Completo, Marco P. Soares dos Santos

“…Our technology includes a network-architectured capacitive interdigitated system, a Bluetooth module, an analog-to-digital converter, a multiplexer, a microcontroller, and a miniaturized battery. …”
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Local and Deep Features Based Convolutional Neural Network Frameworks for Brain MRI Anomaly Detection by Sajad Einy, Hasan Saygin, Hemrah Hivehch, Yahya Dorostkar Navaei

“…In addition, we discussed the effectiveness and applicability of CNNs with a variety of different features and architectures for brain abnormalities such as Alzheimer’s.…”
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Urdu Lip Reading Systems for Digits in Controlled and Uncontrolled Environment by Amanullah Baloch, Mushtaq Ali, Lal Hussain, Touseef Sadiq, Badr S. Alkahtani

“…The other various findings highlight the effectiveness of different DNN architectures and the potential improvements offered by the ULRD dataset for Urdu lip reading research.…”
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Integration of Multi-Source Archival Data for 3D Reconstruction of Non-Existent Historical Buildings by Beata Calka, Paulina Jaczewska, Justyna Slowik

“…Historical maps, terrestrial and aerial photographs, and architectural blueprints from the National Archives in Warsaw were used to propose three distinct approaches to 3D modeling. …”
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CHURCH RESPONSE TO SECURITY CHALLENGES IN THE 21ST CENTURY: THE NIGERIAN EXPERIENCE by Oyebode Paul Jegede, Abare Yunuwa Kallah

“…In similar vein, the near collapse of security architectures in Nigeria has created a Hobbesian state of nature where life is poor, nasty, brutish and short. …”
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Slabless Staircase Flexural Behavior with Multi Reinforcement Configuration by Rafal saeed Rafal saeed s.

“…Slabless staircases represent a modern architectural innovation that eliminates traditional solid stair treads. …”
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Structural Performance of Translucent Concrete Façade Panels by Awetehagn Tuaum, Stanley Shitote, Walter Oyawa, Medhanye Biedebrhan

“…The energy-saving, environmental conservation, and aesthetic and structural performance improvements stemming from the application of translucent concrete façade panel as architectural wall would foster the development of green and resilient buildings as well as contribute to sustainable construction.…”
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IT GOVERNANCE IN THE BANKING SECTOR: EVIDENCE FROM ITALY, GERMANY, FRANCE AND SPAIN by Ida Claudia Panetta, Sabrina Leo, Fabrizio Santoboni, Gianfranco Vento

“…IT is an intrinsic component of banks’ operational functioning; it is a key resource in developing and supporting banking services, enabling institutions’ strategies, and it is essential for almost all banking processes and distribution channels. IT and data architectures are also becoming even more necessary to improve banks’ risk management process, and support the broad management of financial risks. …”
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Bringing Intelligence to the Edge for Structural Health Monitoring: The Case Study of the Z24 Bridge by Ali Dabbous, Riccardo Berta, Matteo Fresta, Hadi Ballout, Luca Lazzaroni, Francesco Bellotti

“…To this end, we study the application of two convolutional neural network architectures that have emerged in the literature for efficient feature extraction from time series, namely WaveNet and MINImally RandOm Convolutional KErnel Transform (MiniRocket). …”
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Multiscale modeling of reservoir systems using geostatistical methods by Chihi, Hayet, Hammami, Mohamed Amin, Mezni, Imen, Belayouni, Habib, Ben Mammou, Abdallah

“…This provides a detailed input for the geostatistical modeling procedures that enabled to precisely capture the varying extent and shape of the hydrogeological units at regional scale.Geophysical data, available along the Jeffara plain, were added as a complement to the Jeffara geodatabase and used to establish the fault network and to build a local architectural model of the coastal aquifer system, based on time-to-depth conversion using kriging with external drift.The results have allowed (i) a major update of the geological configuration of the Jeffara basin, (ii) more precision on the geometries and extent of the stratigraphic sequences and (iii) an accurate prediction of the main characteristics of water reservoirs, i.e. their occurrence, thickness, facies and dynamic properties variation at the basin and reservoir scale. …”
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HSTCN-NuSVC: A Homogeneous Stacked Deep Ensemble Learner for Classifying Human Actions Using Smartphones by Sarmela Raja Sekaran, Ying Han Pang, Ooi Shih Yin, Lim Zheng You

“…In this model, multiple enhanced TCN networks with diverse architectures are organised parallelly to capture hierarchical spatial-temporal patterns from raw inertial signals. …”
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Deep learning empowered sensor fusion boosts infant movement classification by Tomas Kulvicius, Dajie Zhang, Luise Poustka, Sven Bölte, Lennart Jahn, Sarah Flügge, Marc Kraft, Markus Zweckstetter, Karin Nielsen-Saines, Florentin Wörgötter, Peter B. Marschik

“…Convolutional neural network (CNN) architectures were used to classify movement patterns. …”
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IT GOVERNANCE IN THE BANKING SECTOR: EVIDENCE FROM ITALY, GERMANY, FRANCE AND SPAIN by Ida Claudia Panetta, Sabrina Leo, Fabrizio Santoboni, Gianfranco Vento

“…IT is an intrinsic component of banks’ operational functioning; it is a key resource in developing and supporting banking services, enabling institutions’ strategies, and it is essential for almost all banking processes and distribution channels. IT and data architectures are also becoming even more necessary to improve banks’ risk management process, and support the broad management of financial risks. …”
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FEN-MRMGCN: A Frontend-Enhanced Network Based on Multi-Relational Modeling GCN for Bus Arrival Time Prediction by Ting Qiu, Chan-Tong Lam, Bowie Liu, Benjamin K. Ng, Xiaochen Yuan, Sio Kei Im

“…Future research will focus on leveraging additional data sources and exploring advanced graph convolutional architectures to further elevate prediction accuracy.…”
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Study of Multi-Service Networks and Communication Systems Using Distributed Network Technology in Mountain Areas by Rustamova D. F., Mehdiyeva A. M., Mahmudova Z. A., Abdullaev J., Sapaev B.

“…Thus, the results of QoS & QoE quality of service research and an analysis of numerical calculations of the probability and time characteristics of corporate multiservice networks based on the architectural concept of NGN and FN using the concept of SDN, NFV and IMS, requires the study of complex performance indicators of multiservice enterprise networks.…”
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Determination of the melanin and anthocyanin content in barley grains by digital image analysis using machine learning methods by E. G. Komyshev, M. A. Genaev, I. D. Busov, M. V. Kozhekin, N. V. Artemenko, A.  Y. Glagoleva, V. S. Koval, D. A. Afonnikov

“…Four models based on computer vision techniques and convolutional neural networks of different architectures were developed to predict grain pigment composition from images. …”
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