Reconfigurable Intelligent Surface Enabled Spatial Modulation for Visible Light Communications by Pengfei Shen, Lu Lu

“…Furthermore, we find that the bit error rates (BER) performance of RIS-SM and RIS-GSM are highly affected by channel correlation. …”
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Supervised machine learning statistical models for visual outcome prediction in macular hole surgery: a single-surgeon, standardized surgery study by Kanika Godani, Vishma Prabhu, Priyanka Gandhi, Ayushi Choudhary, Shubham Darade, Rupal Kathare, Prathiba Hande, Ramesh Venkatesh

“…Clinical trial registration number Not applicable.…”
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Soil moisture estimation underneath crop cover using high incidence angle C-band Sentinel-1 SAR data by Hari Shanker Srivastava, Thota Sivasankar, Madhuri Dilip Gavali, Parul Patel

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Experimentally profiling dielectric properties of Escherichia coli and Staphylococcus aureus by movement velocity and force by Akmal Suhaimi, Arash Zulkarnain, Noraziah Mohamad Zin, Abdullah Abdulhameed, Aminuddin Ahmad Kayani, Ramdzan Buyong

“…The benefits of AI integration into DEP systems include improving position and accuracy, faster processing and decision-making, enhancing particle classification, reducing human error, and many others. On the other hand, DEP research often focuses on CMF values of the particles. …”
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Precision forecasting for hybrid energy systems using five deep learning algorithms for meteorological parameter prediction by Ceren Ceylan, Zehra Yumurtacı

“…Most significantly, our framework successfully forecasted sixth year (2023) energy production with 1.55 % error, validating its real-world applicability. This research contributes to the methodological advancement of renewable energy forecasting by systematically identifying optimal algorithmic approaches for different meteorological parameters in hybrid systems, thereby supporting the integration of intermittent renewable sources into sustainable energy infrastructures.…”
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Predicting the Robustness of Large Real-World Social Networks Using a Machine Learning Model by Ngoc-Kim-Khanh Nguyen, Quang Nguyen, Hai-Ha Pham, Thi-Trang Le, Tuan-Minh Nguyen, Davide Cassi, Francesco Scotognella, Roberto Alfieri, Michele Bellingeri

“…We found that the RF model can predict network robustness with a mean squared error (RMSE) of 0.03 and is 30% better than the MLR model. …”
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Spatial correlation guided cross scale feature fusion for age and gender estimation by Shiyi Jiang, Qing Ji, Hukui Shi, Che Chen, Yang Xu

“…This research provides new insights for robust identity analysis in human-computer interaction and intelligent security applications.…”
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Active RIS-NOMA Uplink in URLLC, Jamming Mitigation via Surrogate and Deep Learning by Ghazal Asemian, Mohammadreza Amini, Burak Kantarci

“…The deep regression model converges to a weighted mean square error (WMSE) of 10.6 for RIS with 25 elements and 15.8 for larger RIS size, highlighting the effectiveness of the deep regression model and RIS configuration’s importance.…”
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NEW ROLE FOR THE TEACHER: PREVENT STUDENTS FROM COMPLETELY ABANDONING THEMSELVES TO AI AND RELINQUISHING CONTROL OVER THEIR LEARNING. Illustration for foreign languages for specifi... by Felicia CONSTANTIN

“…the incalculable benefits of the use of AI by students, in terms of speed, number of variants generated, productions with a high level of language, the generation of suggestive images through free and high-performance applications, the creation or self-creation of evaluation exercises; (b). the double valence - positive and negative - of some aspects: respect and nuance of the workload, originality in the context of a large number of users, error correction, management in solving the assignments, emotional involvement; (c). the disadvantages about the inability to perform some work tasks, the deviations from the defined work task, the hallucinations produced, and the limitations in the context of a common collaborative activity platform. …”
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Exothermic thermosolutal convection in a nanofluid-filled square cavity with a rotating Z-Fin: ISPH and AI integration by Kuiyu Cheng, Abdelraheem M. Aly, Nghia Nguyen Ho, Sang-Wook Lee, Andaç Batur Çolak, Weaam Alhejaili

“…These findings underscore the study's relevance to applications such as energy systems, refrigeration, and heat exchangers.…”
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Plasmonic Mode Interference Effect Based Sensors by Neha Ahlawat, Awanish Pandey, Saurabh Mani Tripathi

“…This makes the symmetric SPP considerably more suitable for bio/chemical sensing applications. The core mode projection technique with an optimized transverse offset between the lead-in waveguide and plasmonic waveguide has been used to couple appreciable power into the two SPP modes enhancing the extinction ratio of the transmission spectra. …”
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Multi-Modal Deep Learning for Lung Cancer Detection Using Attention-Based Inception-ResNet by Mohamed Hosny, Ibrahim A. Elgendy, Mousa Ahmad Albashrawi

“…However, these methods are time-intensive and highly susceptible to human error. Deep learning (DL) has emerged as a powerful alternative to autonomously identify complex patterns within radiological and histopathological images. …”
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A reliable tool for assessment of acceptance of e-consultation service in hospitals: the modified e-consultation Technology Acceptance Model (TAM) questionnaire by Rasha Ashmawy, Sally Zeina, Ehab Kamal, Khaled Shelbaya, Nermeen Gawish, Sandy Sharaf, Elrashdy M. Redwan, Azza Mehanna

“…This tool offers potential for future research and practical applications, providing valuable insights to improve the implementation of e-consultation services and inform strategies for advancing healthcare access and equity globally.…”
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Structural strength optimization design of ultra-high-pressure and ultra-wear-resistant pneumatic ball valve opened and closed at large explosion instantaneously using finite eleme... by Xianmei Liu, Mingcun Zhang

“…The experiment shows that after optimization, the maximum equivalent stress peak of the valve body is reduced by 32.7%, the leakage rate is reduced to 0.008%, and the dynamic fatigue life is increased to 1.5 × 105 cycles under the commonly used engineering stress amplitude. The stress error between the simulation and the test is always less than 5%. …”
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Reliability of the Tuck Jump Assessment Using Standardized Rater Training by Kevin Racine, Meghan Warren, Craig Smith, Monica R. Lininger

“…Although the TJA has broad clinical applicability, there is no standardized training to maximize the TJA measurement properties…”
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Improvement of SAM2 Algorithm Based on Kalman Filtering for Long-Term Video Object Segmentation by Jun Yin, Fei Wu, Hao Su, Peng Huang, Yuetong Qixuan

“…By unifying motion-aware physics-based prediction with spatial segmentation, SAM2Plus bridges the gap between static and dynamic reasoning, offering a scalable solution for real-world applications such as autonomous driving and surveillance systems.…”
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Parametric study and optimisation of supercritical extraction of Chlorella Vulgaris microalgae using Response surface methodology by Milap G. Nayak, Reena D. Gamit

“…Sovová model with high R2 and low residual error showed a close agreement between predicted and observed values of oil extraction yield. …”
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Features of minimizing total electrical losses in high-voltage electromechanical systems for stationary industrial fan installations by A.V. Synetskyi, I.M. Kotsur

“…The proposed methodology can be applied to minimizing losses in high-voltage electromechanical drive systems for both AC and DC applications used in various industrial mechanisms. …”
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Assessment of Isometric Shoulder Strength in Swimmers: A Validation and Reliability Study of the ASH and iASH Tests by Hugo Ogando-Berea, Santiago Virgós-Abelleira, Pablo Hernandez-Lucas, Fernando Zarzosa-Alonso

“…The symmetry in strength between both sides supports their applicability in preventive programmes.…”
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Motion control and singular perturbation algorithms for lower limb rehabilitation robots by Yanchun Xie, Anna Wang, Xue Zhao, Yang Jiang, Yao Wu, Hailong Yu

“…To better assist patients with lower limb injuries in their rehabilitation training, this paper focuses on motion control and singular perturbation algorithms and their practical applications. First, the paper conducts an in-depth analysis of the mechanical structure of such robots and establishes detailed kinematics and dynamics models. …”
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