Resonant Polysilicon Antenna for Terahertz Detection by Ze Shen, Xiaoli Ji, Yiming Liao, Ke Wang, Biaobing Jin, Feng Yan

“…In this work, we experimentally demonstrate a novel metal-free terahertz detector, which is fashioned by heavily doped polysilicon using standard CMOS process. The computational results show that the incident field can be largely enhanced within the antenna gap area at the resonance of 650 GHz. …”
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Theoretical investigations on analysis and optimization of freeze drying of pharmaceutical powder using machine learning modeling of temperature distribution by Turki Al Hagbani, Jawaher Abdullah Alamoudi, Majed A. Bajaber, Huda Ibrahim Alsayed, Halah Jawad Al-fanhrawi

“…The modeling framework is based on CFD (Computational Fluid Dynamics) and machine learning (ML). …”
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Hybrid feature selection for real-time road surface classification on low-end hardware: A machine learning approach by Cong Ngo Van, Duc-Nghia Tran, Ton That Long, Nguyen Gia Minh Thao, Duc-Tan Tran

“…This study highlights the important role of inertial sensor data collection, pre-processing, and feature selection in enhancing model performance for pavement classification, demonstrating its value in both computational efficiency and accuracy.…”
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Maize Seed Variety Classification Based on Hyperspectral Imaging and a CNN-LSTM Learning Framework by Shuxiang Fan, Quancheng Liu, Didi Ma, Yanqiu Zhu, Liyuan Zhang, Aichen Wang, Qingzhen Zhu

“…Spectral data were acquired by hyperspectral imaging technology from five maize varieties and processed using Savitzky–Golay (SG) smoothing, along with standard normal variate (SNV) preprocessing. …”
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Responsible Artificial Intelligence Hyper-Automation with Generative AI Agents for Sustainable Cities of the Future by Daswin De Silva, Nishan Mills, Harsha Moraliyage, Prabod Rathnayaka, Sam Wishart, Andrew Jennings

“…The translation of data into insights poses several complex challenges originating in data generation and then propagating through the computational layers to decision outcomes. To address these challenges, this article presents the design and development of a Hyper-Automated AI framework with Generative AI agents for sustainable smart cities. …”
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Orthophoto generation with gaussian splatting: mitigating reflective surface artifacts in imagery from low-cost sensors by M. Previtali, L. Barazzetti, F. Roncoroni

“…Additionally, this approach proves to be computationally efficient, making it ideal for low-cost sensor applications. …”
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LoRA-Adv: Boosting Text Classification in Large Language Models Through Adversarial Low-Rank Adaptations by Hong Ye, Xialin Xie, Fenlong Xie, Jun Zuo, Chunyan Bu

“…Low-rank adaptation (LoRA), a paradigm bridging the gap between large language models and fine-tuning, has demonstrated effectiveness across various natural language processing tasks. The LoRA algorithm updates only a small number of model parameters, significantly reducing the consumption of computational resources. …”
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The Challenge of Deep Learning for the Prevention and Automatic Diagnosis of Breast Cancer: A Systematic Review by Jhelly-Reynaluz Pérez-Núñez, Ciro Rodríguez, Luis-Javier Vásquez-Serpa, Carlos Navarro

“…Results: The review found that CNN models with advanced architecture and greater depth exhibit high accuracy and sensitivity in image processing and feature extraction for breast cancer detection. …”
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Online Distance Learning During Covid-19 Pandemic: An Empirical Analysis Over the Students’ Opinions by Özgür Topkaya, Abdurrahman Benli, Gökçe Cerev

“…In this regard, the study used a detailed survey to collect the opinions of Turkish higher education students about the e-learning process during the spring term 2020 when the COVID 19 Pandemic began. …”
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The Role of Lightweight AI Models in Supporting a Sustainable Transition to Renewable Energy: A Systematic Review by Tymoteusz Miller, Irmina Durlik, Ewelina Kostecka, Polina Kozlovska, Marek Staude, Sylwia Sokołowska

“…Our findings indicate that adopting distilled AI models can significantly reduce energy consumption in data processing, enhance grid optimization, and support sustainable resource management across the lifecycle of renewable energy infrastructures. …”
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Adaptive Beamforming Damage Imaging of Lamb Wave Based on CNN by Ronghe Shen, Zixing Zhou, Guidong Xu, Sai Zhang, Chenguang Xu, Baiqiang Xu, Ying Luo

“…However, the MVDR method involves matrix inversion, which introduces a high computational burden to the implementation process and makes real-time damage detection challenging. …”
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TEMSET-24K: Densely Annotated Dataset for Indexing Multipart Endoscopic Videos using Surgical Timeline Segmentation by Muhammad Bilal, Mahmood Alam, Deepashree Bapu, Stephan Korsgen, Neeraj Lal, Simon Bach, Amir M. Hajiyavand, Muhammed Ali, Kamran Soomro, Iqbal Qasim, Paweł Capik, Aslam Khan, Zaheer Khan, Hunaid Vohra, Massimo Caputo, Andrew D. Beggs, Adnan Qayyum, Junaid Qadir, Shazad Q. Ashraf

“…Despite its significance, current video analytics rely on manual indexing, a time-consuming process. Advances in computer vision, particularly deep learning, offer automation potential, yet progress is limited by the lack of publicly available, densely annotated surgical datasets. …”
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Cutting carbon emissions by using H2 gas on a heavy-duty 2-stroke marine engine by Van Chien Pham, Van Vang Le, Van Si Hoang, Won-Ju Lee, Sujeong Choe, Jae-Hyuk Choi

“…The mixtures of hydrogen-methane (H2-CH4) with various H2 contents were applied on an existing 2-stroke heavy-duty diesel-CH4 dual-fuel (DF) marine engine. The combustion process and emissions formations inside the engine cylinder were calculated using the computational fluid dynamic (CFD) method with the support of the ANSYS FLUENT software. …”
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Dataset of a national survey on online gambling activities among young people in Portugal. [version 2; peer review: 2 approved, 1 approved with reservations] by Ana Cristina Antunes, Ana Rita Farias

“…This methodology involved a quantitative telephone survey conducted in March and April 2023, utilizing quota sampling to ensure representation across various regions. The data collection process employed Computer Assisted Telephone Interviewing (CATI) and involved rigorous quality control measures to ensure accuracy and reliability. …”
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Attention-Driven Lane Change Trajectory Prediction With Traffic Context in Urban Environments by Seokjun Hong, Jaegyun Im, Byeongjoon Noh

“…The proposed model analyzes drone footage collected from natural urban driving environments using computer vision techniques to extract traffic context and employs a Transformer-LSTM architecture to predict lane-change trajectories. …”
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Check-Bit Region Exploration in Two-Dimensional Error Correction Codes by David Freitas, David Mota, David Coelho, Humberto Fontinele, Alexandre Coelho, Jarbas Silveira, Lirida Naviner, Joao Mota, Cesar Marcon

“…The main component of these satellites is the OnBoard Computer (OBC), which is responsible for all control and processing. …”
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Multimodality imaging with US, CT and MRCP for diagnosing atypical Lemmel syndrome: a case report by Roberto Hernandez-Juarez, Edgar R. Austria-Franco, Mario R. Prada-Bonilla, Asael G. Flores-Mata

“…The procedure decompressed the biliary tree, resolved the obstruction and inflammatory process, and resulted in a favorable clinical recovery. …”
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Spacer Designs for Improved Hydrodynamics and Filtration Efficiency in Sea Water Reverse Osmosis by Sarah Kerdi, Adnan Qamar, Henry J. Tanudjaja, Noreddine Ghaffour

“…In agreement with the permeation velocity computation, the S spacer achieved the highest improvement (13%) in both flux yield and specific flux relative to the C spacer. …”
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Use of pattern recognition in photoacoustic imaging to identify neuronal ensembles in the prefrontal cortex of rats undergoing conditioned fear learning by Shane A. Perrine, Mohammad Beirami, James I. Matchynski, Rayyan Manwar, Srinivasu Kallakuri, Alana C. Conti, Kamran Avanaki

“…Pattern recognition analysis in brain research has improved understanding of sensory processing and led to the identification of default brain networks in neuroimaging studies. …”
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Estimate of virtual photon polarization due to the intense magnetic field in Pb-Pb collisions at the LHC energies by Kento Kimura, Nicholas J. Benoit, Ken-Ichi Ishikawa, Chiho Nonaka, Kenta Shigaki

“…Using a relativistic resistive magnetohydrodynamics model, we computed the time evolution of the magnetic field and used these results to estimate the averaged polarization by calculating the vacuum polarization under the influence of the magnetic field at specific times. …”
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