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. …”
Get full text

Twinkle: A GPU-based Binary-lens Microlensing Code with the Contour Integration Method by Suwei Wang, Lile Wang, Subo Dong

“…We have advanced the state of the art by optimizing Twinkle specifically for heterogeneous computing devices by taking into account the unique task and cache memory dispatching patterns of GPUs, while the compatibility with the traditional computing architectures of CPUs is still maintained. Twinkle has demonstrated an acceleration of approximately 2 orders of magnitude (≳10 ^2 ×) on contemporary GPUs. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

Enhancing Convolutional Neural Network Robustness Against Image Noise via an Artificial Visual System by Bin Li, Yuki Todo, Sichen Tao, Cheng Tang, Yu Wang

“…The convolutional neural network (CNN) was initially inspired by the physiological visual system, and its structure has become increasingly complex after decades of development. Although CNN architectures now have diverged from biological structures, we believe that the mechanism of feature extraction in the visual system can still provide valuable insights for enhancing CNN robustness and stability. …”
Get full text

The Impact of Ecoregional Mobilization on Mountain Policies in the Swiss Alps and California’s Sierra Nevada by Jörg Balsiger

“…Expanding and specifying arguments found in the policy networks literature, it argues that changes in the nature of dynamics of ‘organizational landscapes’ (the assemblage of state and non-state actors sharing a common concern for a policy issue or set of issues) precipitate transformations in ‘policy architectures (the structure and substantive orientation of public policy goals and instruments). …”
Get full text

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. …”
Get full text

Resilient Privacy Preservation Through a Presumed Secrecy Mechanism for Mobility and Localization in Intelligent Transportation Systems by Meshari D. Alanazi, Mohammed Albekairi, Ghulam Abbas, Turki M. Alanazi, Khaled Kaaniche, Gehan Elsayed, Paolo Mercorelli

“…An intelligent transportation system (ITS) offers commercial and personal movement through the smart city (SC) communication paradigms with hassle-free information sharing. ITS designs and architectures have improved via information and communication technologies in recent years. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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? …”
Get full text

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. …”
Get full text

Les boutiques dans les colonies de Lyon et de Vienne entre le i er s. av. et le iii e s. apr. J.-C. by Marine Lépée

“…Which traffic patterns were generated by these architectural and functional choices? The examples given here are taken from an ongoing thesis on urban retail trade in the Rhône Valley between the i st century BC and the end of the iii rd century AD conducted at the University of Lyon 2 and the University of Lausanne, under the supervision of M. …”
Get full text

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. …”
Get full text

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. …”
Get full text

Fabrication of bendable and narrow bandgap Cu(In,Ga)(S,Se)2 for tandem photovoltaics by Sarallah Hamtaei, Alice Debot, Romain Scaffidi, Guy Brammertz, Estelle Cariou, Sean M. Garner, Aranzazu Aguirre, Jef Poortmans, Phillip J. Dale, Bart Vermang

“…Abstract Cu(In,Ga)(S,Se)2 absorbers with a bandgap in the near-infrared region are ideal candidates for a bottom cell in multi-junction solar cell architectures. In flexible and lightweight form factors, such devices could help power many applications through integrated solar cells. …”
Get full text

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). …”
Get full text