Wind Turbine Performance in Controlled Conditions: BEM Modeling and Comparison with Experimental Results by David A. Johnson, Mingyao Gu, Brian Gaunt

“…Predictions of the performance of operating wind turbines are challenging for many reasons including the unsteadiness of the wind and uncertainties in blade aerodynamic behaviour. …”
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AI-Enabled Digital Marketing in Startups: A Systematic Review of Global Practices and Egyptian Implementation Challenges by Wael Bedda, Heba Al-Ashry, Hamed Ead

“…Challenges such as ethical concerns, algorithmic bias, and cultural readiness still persist. …”
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A Near-Infrared Imaging System for Robotic Venous Blood Collection by Zhikang Yang, Mao Shi, Yassine Gharbi, Qian Qi, Huan Shen, Gaojian Tao, Wu Xu, Wenqi Lyu, Aihong Ji

“…Results show that, compared to U-Net, the BYOL+U-Net+ResNet18 method achieves an 8.31% reduction in Binary Cross-Entropy (BCE), a 5.50% reduction in Hausdorff Distance (HD), a 15.95% increase in Intersection over Union (IoU), and a 9.20% increase in the Dice coefficient (Dice), indicating improved image segmentation quality. …”
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Image Processing Method Based on Chaotic Encryption and Wavelet Transform for Planar Design by Yiying Liu, Young Chun Ko

“…The plaintext image is decomposed in odd-even sequence using the boosting algorithm to get the sequence with an even index and the sequence with an odd index; then, the diffusion algorithm is applied to the two sequences by the prediction and update algorithm, and this process is repeated many times to get the two ciphertext sequences after scrambling, merging these two sequences, and matrixing them to get the ciphertext image. …”
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Deep learning-based temperature detection for group-raised pigs via thermal images by Xiaowen Liu, Xueting Zeng, Mengyuan Chu, Qian Li, Gang Liu

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Optimal Task Offloading Strategy for Vehicular Networks in Mixed Coverage Scenarios by Xuewen He, Yuhao Cen, Yinsheng Liao, Xin Chen, Chao Yang

“…This study employs long short-term memory networks to predict the loading status of base stations. Then, based on the prediction results, we propose an optimized task offloading strategy using the proximal policy optimization algorithm. …”
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A Method of Modal Parameter Identification for Wind Turbine Blade Based on Binocular Dynamic Photogrammetry by Wenyun Wang, Xuejun Li, Anhua Chen

“…Experiment results show that good effects and stable accuracy can also be achieved with the presented photogrammetry vibration measurement and automatic modal identification algorithm.…”
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Design and Deployment of ML in CRM to Identify Leads by Alonso Yocupicio-Zazueta, Agustin Brau-Avila, Federico Cirett-Galán, Margarita Valenzuela-Galván

“…In Jupyter Notebooks, logistic regression was utilized to design and to train a model to accurately predict whether a lead will convert into a client or not. …”
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A general two-group constants estimator for 17x17 PWR assembly configurations using artificial neural networks by Gökhan Pediz, M. Alim Kırışık

“…The prediction measures show that ANNs can consistently estimate two-group constants for the test data assemblies. …”
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Navigating Samarinda's climate: A comparative analysis of rainfall forecasting models by Mislan, Andrea Tri Rian Dani

“…The superior points in this research are: • Modeling rainfall data in Samarinda City using several forecasting methods: Exponential Smoothing, ARIMA, and Neural Network. • The Neural-Network algorithm used is Backpropagation with data standardization. • Information about predicted high rainfall can be used to issue early warnings of floods or landslides. …”
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A cost-effective adaptive repair strategy to mitigate DDoS-capable IoT botnets. by Jiamin Hu, Xiaofan Yang

“…By leveraging optimal control theory, we propose an iterative algorithm to solve the problem, numerically obtaining the learned time-varying parameters and a repair strategy. …”
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Creating Worlds that Create Audiences: Theorising Personal Data Markets in the Age of Communicative Capitalism by Vassilis Charitsis, Detlev Zwick, Alan Bradshaw

“…Echoing recent theorisations of data (as) derivatives, Zuboff’s key claim about surveillance capitalism is that data representations open up opportunities for the enhanced market control of life through the algorithmic monitoring, prediction and modification of human behaviour. …”
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Cultural intelligence and inclusive leadership in a diverse IT sector: a framework for effective collaboration by Камрун Нахар, Омар Фарук, Захир Райхан

“…Based on a mixed-methods study with 600 participants from worldwide IT businesses, the paper proposes CQL-IncluNet, a prediction algorithm to model and evaluate collaboration.  …”
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The role of neurovisualization in monitoring stroke risk among athletes: a review by Bauyrzhan Omarov, Akbayan Aliyeva

“…Results: the main results indicated that imaging biomarkers such as microbleeds, perfusion deficits, and white matter disruptions could be effectively detected and interpreted using artificial intelligence models. wearable data integrated with neuroimaging further enhanced the precision of predictive assessments. Discussion: the findings were consistent with previous studies that supported the use of multimodal imaging and computational tools in stroke risk evaluation. however, data heterogeneity and algorithmic transparency were identified as persistent challenges across the reviewed literature. …”
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Secure IoV communications for smart fleet systems empowered with ASCON by Bhuvaneshwari A J, P. Kaythry

“…This research presents the ASCON, a low-power cryptographic algorithm, with the Message Queued Telemetry Transport (MQTT) protocol for secure IoV communications. …”
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Dynamic Water Scheduling in the Northwest River Delta Basin Based on Minimum Discharge Flow Control in Cross-section by WU Di, FANG Chunyan, SHANG Yunfei

“…The whale optimization algorithm was used to find the optimal water allocation plan. …”
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Improving computational drug repositioning through multi-source disease similarity networks by Duc-Hau Le

“…We applied a tailored Random Walk with Restart (RWR) algorithm to predict novel drug-disease associations. …”
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Detection of change in vegetation cover using multi-spectral and multi-temporal information for District Sargodha, Pakistan / Detecção de alteração na cobertura vegetal com uso de... by Farooq Ahmad

“…The results can be utilized as a temporal landuse change model for Punjab province of Pakistan to quantify the extent and nature of change and assist in future prediction studies. This will support environmental planning to develop sustainable landuse practices.…”
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Twin Support Vector Regression Model Based on Heteroscedastic Gaussian Noise and Its Application by Shiguang Zhang, Ge Feng, Feng Yuan, Shuangle Guo

“…The experimental results show that TSVR-HGN has better prediction accuracy.…”
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Applications, Challenges, and Future Perspectives of Artificial Intelligence in Psychopharmacology, Psychological Disorders and Physiological Psychology: A Comprehensive Review by Mohammad Hossein Salemi, Elham Foroozandeh, Molouk Khademi Ashkzari

“…Personalized medicine, powered by AI, predicts individual medication responses, minimizing side effects and optimizing outcomes. …”
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