Digital Phase-Locked Loops: Exploring Different Boundaries by Yuncheng Zhang, Dingxin Xu, Kenichi Okada

“…Specifically, it covers the DPLL architectures using time-to-digital and digital-to-time converters, as well as bang–bang phase detectors, fully synthesizable DPLLs, and the integration of oversampling techniques that enable the use of a 32-kHz reference to avoid using bulky higher-frequency reference sources. …”
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Music Generation Using Deep Learning and Generative AI: A Systematic Review by Rohan Mitra, Imran Zualkernan

“…The study examines common data representations in music generation, including raw waveforms, spectrograms, and MIDI, alongside the most prominent deep learning architectures like Generative Adversarial Networks (GANs), Recurrent Neural Networks (RNNs), Variational Autoencoders (VAEs), and Transformer-based models. …”
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Vision Transformers for Image Classification: A Comparative Survey by Yaoli Wang, Yaojun Deng, Yuanjin Zheng, Pratik Chattopadhyay, Lipo Wang

“…They require minimal inductive biases in their design and can function effectively as set-based architectures. Additionally, transformers excel at capturing long-range dependencies and enabling parallel processing, which allows them to outperform traditional models, such as long short-term memory (LSTM) networks, on sequence-based tasks. …”
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Onboard energy storage in rail transport: Review of real applications and techno‐economic assessments by Emanuele Fedele, Diego Iannuzzi, Andrea Del Pizzo

“…The ratings, technical features, and operating data of onboard sources are gathered for each application, and a comparison among different technologies is presented. Traction system architectures and energy‐control strategies of actual multimodal units are explored and compared with literature research. …”
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Mechanisms for introduction of pseudo ductility in fiber reinforced polymer composites- a review by Vinayak S. Uppin, P. S. Shivakumar Gouda, I. Sridhar Research Center, Department of Mechanical Engineering, SDM College of Engineering and Technology, Dharwad, Visvesvaraya Technological University, Karnataka, India.

“…The various fiber architectures made under this project gave a more gradual failure rather than catastrophic failure with improved mechanical properties. …”
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Effects of Habitat Change on the Web Characteristics and Fitness of the Giant Wood Spider (Nephila pilipes) in Sri Lanka by Tharaka Wijerathna, Dilini Tharanga, Inoka C. Perera, Mayuri R. Wijesinghe

“…We hypothesize that marked differences would be evident between the two habitats in (i) web properties and (ii) fitness of the female spiders. Web architectural and silk thread properties were measured in 25 webs of adult female spiders in each of the two habitats, while female abdomen size was used as the proxy for fitness. …”
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Proximal Neural Networks based reconstruction for few-view CT applications by Hoang Trieu Vy Le, Caroline Bossuyt, Julie Escoda, Marius Costin, Jan De Beenhouwer, Jan Sijbers

“…Additionally, they feature much simpler architectures compared to traditional neural networks. …”
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Available Degrees of Spatial Multiplexing of a Uniform Linear Array With Multiple Polarizations: A Holographic Perspective by Xavier Mestre, Adrian Agustin, David Sarda

“…The capabilities of multi-antenna technology have recently been significantly enhanced by the proliferation of extra large array architectures. The high dimensionality of these systems implies that communications take place in the near-field regime, which poses some questions as to their effective performance even under simple line of sight configurations. …”
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Influence of Turbulence, Orientation, and Site Configuration on the Response of Buildings to Extreme Wind by Aly Mousaad Aly

“…The author proposed techniques for the testing of residential buildings and architectural features in flows that lack fully developed turbulence. …”
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Un dimensionnement des territoires en héritage. Nouvelles tours résidentielles pour un horizon écologique incertain by Geoffrey Mollé

“…Compared to the mid-twentieth century, however, this change in scale bears witness to a significant morphological invariant: what inertia does the continued valorization of vertical architectures signal in the production conditions of tomorrow's housing? …”
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Investigation into the Impact of L-Shaped RC Shear Wall Placement with Openings on the Behavior of Medium-Rise Buildings by Salem Merabti, Salah Bezari, Abdelkadir Aymen Laari, Aboubaker Khachouche

“…These percentages ensure a suitable balance between architectural functionality and the effective structural performance of L-shaped shear walls. …”
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Classification and Localization of Faults in AC Microgrids Through Discrete Wavelet Transform and Artificial Neural Networks by J. A. R. R. Jayasinghe, J. H. E. Malindi, R. M. A. M. Rajapaksha, V. Logeeshan, Chathura Wanigasekara

“…To achieve high accuracy and computational efficiency, the network architectures of the ANNs are optimized, and the extracted features contain the detailed information required for ANNs to clearly distinguish different fault types and locations. …”
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Deep learning and explainable AI for classification of potato leaf diseases by Sarah M. Alhammad, Doaa Sami Khafaga, Walaa M. El-hady, Farid M. Samy, Khalid M. Hosny

“…Transfer learning enables the model to benefit from pre-trained neural network architectures and weights, enhancing its ability to learn meaningful representations from limited labeled data. …”
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Single- versus Multiobjective Optimization for Evolution of Neural Controllers in Ms. Pac-Man by Tse Guan Tan, Jason Teo, Kim On Chin

“…This proposed algorithm is called Pareto Archived Evolution Strategy Neural Network or PAESNet. Three different architectures of PAESNet were investigated, namely, PAESNet with fixed number of hidden neurons (PAESNet_F), PAESNet with varied number of hidden neurons (PAESNet_V), and the PAESNet with multiobjective techniques (PAESNet_M). …”
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Classification of Animal Behaviour Using Deep Learning Models by M. Sowmya, M. Balasubramanian, K. Vaidehi

“…Specifically, 2D-CNN, VGG16 and ResNet50 architectures have been used for classification. 2D-CNN, «VGG-16» and «ResNet50» have been trained on the video frames displaying a range of animal behaviours. …”
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Comparative Analysis of YOLO Variants Based on Performance Evaluation for Object Detection by Chen Aoxiang

“…It then delves into the specific architectures and experimental outcomes associated with each YOLO version. …”
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Beyond Cations: Expanding the Horizons of Ferrocene-Based Electrochemical Sensors for Neutral and Anionic Molecules by Angel A. J. Torriero, Alma M. Torriero, Kiara T. Miller, Ashwin K. V. Mruthunjaya

“…This review addresses this gap by exploring the latest advancements in Fc-based electrochemical sensors designed to overcome the unique challenges posed by these species—including diverse geometries, high hydration enthalpies, and the absence of formal charge. Molecular architectures such as amide-functionalised receptors, urea derivatives, Lewis acid-containing receptors, triazolium, and carboxylic acid-containing systems are examined, highlighting how these sensors achieve high selectivity and sensitivity. …”
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Mesenchymal Stromal Cell Therapy in Ischemia/Reperfusion Injury by Pascal Rowart, Pauline Erpicum, Olivier Detry, Laurent Weekers, Céline Grégoire, Chantal Lechanteur, Alexandra Briquet, Yves Beguin, Jean-Marie Krzesinski, François Jouret

“…Pathophysiologically, IRI causes multiple cellular and tissular metabolic and architectural changes. Furthermore, the reperfusion of ischemic tissues induces both local and systemic inflammation. …”
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Hypertext’s social significance for a digital age person’s mental identification by N. Y. Paudial, L. V. Filindash

“…The hypertext of cultural content is considered on the examples of an architectural object and an exhibition exposition. The ability to understand the multidimensional nature of texts is interpreted in the article as one of Russian mentality features, which goes back to the tradition of anagogic perception of icons and Christian literature. …”
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Enhancing plant disease detection through deep learning: a Depthwise CNN with squeeze and excitation integration and residual skip connections by Asadulla Y. Ashurov, Mehdhar S. A. M. Al-Gaashani, Nagwan A. Samee, Reem Alkanhel, Ghada Atteia, Hanaa A. Abdallah, Mohammed Saleh Ali Muthanna

“…By evaluating the model with online random images, demonstrate its significant adaptability and effectiveness in overcoming key challenges, such as achieving high accuracy and meeting the practical demands of agricultural applications. The architectural modifications are specifically designed to enhance feature extraction and classification performance, all while maintaining computational efficiency. …”
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