Optical Cryptanalysis Method Using Wavefront Shaping by Meihua Liao, Dajiang Lu, Wenqi He, Xiang Peng

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Ultrasensitive bionic photonic-electronic skin with wide red-shift mechanochromic response by Tianqi Wang, Lei Chen, Haogeng Liu, Haoran Zhu, Zijie Zeng, Yixin Lu, Ping Zhang, Yaofei Chen, Yue Huang, Gui-Shi Liu, Yunhan Luo, Zhe Chen

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Using AI in Optimizing Oral and Dental Diagnoses—A Narrative Review by Amelia Surdu, Dana Gabriela Budala, Ionut Luchian, Liliana Georgeta Foia, Gina Eosefina Botnariu, Monica Mihaela Scutariu

“…AI technologies, such as machine learning, deep learning, and computer vision, are increasingly being integrated into dental practice to analyze clinical images, identify pathological conditions, and predict disease progression. By utilizing AI algorithms, dental professionals can detect issues like caries, periodontal disease and oral cancer at an earlier stage, thus improving patient outcomes.…”
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Coordinated frequency regulation for thermal power unit and battery energy storage using dynamic proportional control by Gangui Yan, Qianli Sha, Junhui Li, Zheng Fang, Shuaishuai Lv, Shuo Zhan, Lin Yue

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Tapering (deprescribing) of benzodiazepine tranquilizers by D. A. Sychev, A. V. Zhuchkov, O. V. Tereshchenko, D. V. Ivashchenko

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Hybridising Neurofuzzy Model the Seasonal Autoregressive Models for Electricity Price Forecasting on Germany’s Spot Market by Dorel Mihai Paraschiv, Narciz Bălășoiu, Souhir Ben-Amor, Raul Cristian

“…Despite the growing interest in predictive algorithms, the challenges are difficult to overcome given the restricted access to relevant data series and the lack of accurate metrics. …”
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The Role of Immunohistochemistry as a Surrogate Marker in Molecular Subtyping and Classification of Bladder Cancer by Tatiana Cano Barbadilla, Martina Álvarez Pérez, Juan Daniel Prieto Cuadra, Mª Teresa Dawid de Vera, Fernando Alberca-del Arco, Isabel García Muñoz, Rocío Santos-Pérez de la Blanca, Bernardo Herrera-Imbroda, Elisa Matas-Rico, Mª Isabel Hierro Martín

“…Background/Objectives: Bladder cancer (BC) is a highly heterogeneous disease, presenting clinical challenges, particularly in predicting patient outcomes and selecting effective treatments. …”
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TREATMENT OF PATIENTS WITH EXTERNAL PANCREATIC FISTULAS AFTER PERCUTANEOUS DRAINAGE INTERVENTIONS OF PANCREATIC PSEUDOCYSTS by D. Yu. Semenov, A. A. Rebrov, V. V. Vasil’yev, A. A. Vaganov, O. V. Poliglottov, V. V. Baryshnikova, А. P. Bogdanov, Z. A. Gunya

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The cost of solving linear differential equations on a quantum computer: fast-forwarding to explicit resource counts by David Jennings, Matteo Lostaglio, Robert B. Lowrie, Sam Pallister, Andrew T. Sornborger

“…There is increasing effort in developing quantum algorithms to efficiently simulate dynamics beyond Hamiltonian simulation, but so far exact resource estimates are not known. …”
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Design Optimization of Compliant Mechanisms for Vibration- Assisted Machining Applications Using a Hybrid Six Sigma, RSM-FEM, and NSGA-II Approach by Huy-Tuan Pham, Van-Khien Nguyen, Quang-Khoa Dang, Thi Van Anh Duong, Duc-Thong Nguyen, Thanh-Vu Phan

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Analysis of the Effectiveness of Traditional and Ensemble Machine Learning Models for Mushroom Classification by Neny Sulistianingsih, Galih Hendro Martono

“…Overall, this study highlights the importance of algorithm selection tailored to data characteristics and supports the use of ensemble learning to boost predictive reliability. …”
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Role,application and challenges of IoT in smart EV charging management:a review by Tripti Kunj, Kirti Pal

“…Additionally, the paper emphasizes the importance of adaptive algorithms and machine learning models for predictive maintenance and efficient resource allocation. …”
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BREATHE: A GeoAI-Powered Air Quality Monitoring and Forecasting System for Urban Sustainability by S. D. Adduri, T. Ali

“…Traditional air quality monitoring systems lack the predictive capabilities needed for proactive intervention and sustainable urban planning. …”
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Near-Infrared Spectroscopy Combined With Support Vector Machine Model to Realize Quality Control of Ginkgolide Production by Lei Liu, Jun Wang, Haiyi Bian, Ahmed N. Abdalla

“…The collect extensive NIRS data throughout the ginkgolide production process and develop chemometric models using PLS, SVM, and random forest algorithms. These models are rigorously validated through cross-validation and independent testing to assess their accuracy and precision in predicting chemical content and classifying product stages. …”
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Reference-Free Assessment of Speech Intelligibility Using Bispectrum of an Auditory Neurogram. by Mohammad E Hossain, Wissam A Jassim, Muhammad S A Zilany

“…The proposed metric also had a wide dynamic range, and the predicted scores were well-separated as a function of hearing loss. …”
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Design and analysis of antenna through machine learning for next-generation IoT system by Rachit Jain, R. Ramya, Vandana Vikas Thakare, P. K. Singhal

“…Notably, the CatBoost algorithm demonstrates superior performance, achieving 77.4% accuracy in predicting antenna return loss. …”
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Deep learning, irrigation enhancement, and agricultural economics for ensuring food security in emerging economies by Aktam U. Burkhanov, Elena G. Popkova, Diana R. Galoyan, Tatul M. Mkrtchyan, Bruno S. Sergi

“…Leveraging data from the top 10 countries with the lowest climate index values according to the Numbeo ranking, this article introduces a groundbreaking deep learning algorithm. This algorithm has the potential to revolutionize agricultural productivity and food security in the face of climate change, filling the gap in research on deep learning in agriculture. …”
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Development of Interactive Learning Application for Basic Programming Based on Technological Pedagogical Content Knowledge Framework by Daniel Yulius Soetjipto, Hendra Dinata, Melissa Angga, Jovan Adriel Widjaja

“… Information technology students must take Algorithms and Programming. Research shows that 28% of US students fail their basic programming subject, which is essential to mastering programming. …”
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Tightly Coupled LIDAR/IMU/UWB Fusion via Resilient Factor Graph for Quadruped Robot Positioning by Yujin Kuang, Tongfei Hu, Mujiao Ouyang, Yuan Yang, Xiaoguo Zhang

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Optimization and Benefit Assessment of LID Layout Based on the MCDA Approach at a Campus Scale by Zexin Lei, Lijun Li, Yanrou Wei, Wenzheng Zhang, Junjie Luo, Xuqiang Zhao

“…SWMM simulations revealed that permeable paving achieved the highest runoff reduction (up to 19.4% at 65% coverage) and strong cost-effectiveness (0.013 USD per % reduction). …”
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