Diagnosis of array antennas based on near-field data using Faster R-CNN by Boguang Yang, Yulun Wei, Jixiang Shi, Tao Hong, Liangyu Li, Kai-Da Xu

“…In this paper, a source reconstruction method for detecting failures in array antenna elements using near-field data based on Faster region-convolutional neural network (Faster R-CNN) is introduced. …”
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Multi-Spectral Optimization for Tissue Probing Using Machine Learning by Yarden Tzabari Kelman, Hadas Lupa Yitzhak, Nadav Shabairou, Shahaf Finder, Zeev Zalevsky

“…Such a significant change in its impact on patients shows the value of this method. This paper shows the possibility of optically separating normal skin from pigmentation tissue, by using the advantages of multi-spectral optimization. …”
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Enhancing nucleotide sequence representations in genomic analysis with contrastive optimization by Mohammadsaleh Refahi, Bahrad A. Sokhansanj, Joshua C. Mell, James R. Brown, Hyunwoo Yoo, Gavin Hearne, Gail L. Rosen

“…By leveraging pre-trained genomic language models and k-mer frequency embeddings, Scorpio demonstrates competitive performance in diverse applications, including taxonomic and gene classification, antimicrobial resistance (AMR) gene identification, and promoter detection. A key strength of Scorpio is its ability to generalize to novel DNA sequences and taxa, addressing a significant limitation of alignment-based methods. …”
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3D Reconstruction of Pedestrian Trajectory with Moving Direction Learning and Optimal Gait Recognition by Binbin Wang, Tingli Su, Xuebo Jin, Jianlei Kong, Yuting Bai

“…This paper used an optimal gait recognition algorithm to improve the accuracy of gait detection. …”
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Trajectory Optimization with Dynamic Drivable Corridor-Based Collision Avoidance by Weijie Wang, Tantan Zhang, Zihan Song, Haipeng Liu

“…Previous research has proposed the drivable corridor (DC) method, which transforms complex collision avoidance constraints into linear inequalities by constructing time-varying rectangular corridors within the spatiotemporal domains, thereby enhancing optimization efficiency. …”
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Fast Processing of Massive Hyperspectral Image Anomaly Detection Based on Cloud-Edge Collaboration by Yunchang Wang, Jin Sun, Yang Xu, Zhihui Wei, Shangdong Zheng, Zebin Wu

“…However, existing algorithms cannot be directly deployed directly in the cloud-edge collaborative environment for rapid detection. To address this issue, this article designs a collaborative cloud-edge anomaly detection method. …”
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Sustainability-driven optimization of np chart for enhanced process monitoring by Salah Haridy, Ridvan Aydin, Asma'a Omar, Zehra Araci, Mohammad Shamsuzzaman, Ahmed Maged

“…The optimal np chart enhances the detection of increasing shifts in the fraction of nonconforming items, leading to significant reductions in emissions, rework, disposal, and recycling costs. …”
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Optimizing Cervical Cancer Diagnosis with Feature Selection and Deep Learning by Łukasz Jeleń, Izabela Stankiewicz-Antosz, Maria Chosia, Michał Jeleń

“…The main purpose of cervical cancer diagnosis is a correct and rapid detection of the disease and the determination of its histological type. …”
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Optimized AlexNet Pruning for Edge-Based Medical Diagnostics by Yasser A. Amer, Hassan I. Saleh, Omar A. Nasr

“…Medical diagnostics demand rapid and accurate disease detection to ensure timely treatment, directly impacting human lives. …”
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Modified Whale Optimization Algorithm for Multiclass Skin Cancer Classification by Abdul Majid, Masad A. Alrasheedi, Abdulmajeed Atiah Alharbi, Jeza Allohibi, Seung-Won Lee

“…Comparative analysis with existing optimization algorithms and skin cancer classification approaches demonstrates the superiority of the proposed method in terms of accuracy, robustness, and computational efficiency. …”
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Optimization of diagnostics and surgical treatment of metastatic cancer of the larynx and hypopharynx by E. I. Trofimov, O. O. Sivkovich, N. A. Daikhes, V. V. Vinogradov, S. S. Reshulckiy

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AI-Driven Optimization of Blockchain Scalability, Security, and Privacy Protection by Fujiang Yuan, Zihao Zuo, Yang Jiang, Wenzhou Shu, Zhen Tian, Chenxi Ye, Junye Yang, Zebing Mao, Xia Huang, Shaojie Gu, Yanhong Peng

“…Instead of claiming a deep theoretical integration, we focus on how AI methods, such as machine learning and deep learning, have been effectively adopted to optimize blockchain consensus algorithms, improve smart contract vulnerability detection, and enhance privacy-preserving mechanisms like federated learning and differential privacy. …”
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Study of Optimal Perimetric Testing in Children (OPTIC): Feasibility, Reliability and Repeatability of Perimetry in Children. by Dipesh E Patel, Phillippa M Cumberland, Bronwen C Walters, Isabelle Russell-Eggitt, Jugnoo S Rahi, OPTIC study group

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Optimizing the automated recognition of individual animals to support population monitoring by Tijmen A. deLorm, Catharine Horswill, Daniella Rabaiotti, Robert M. Ewers, Rosemary J. Groom, Jessica Watermeyer, Rosie Woodroffe

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Optimization of freeze-drying process for anti-Chlamydia hyperimmune serum by V. V. Evstifeev, S. I. Yakovlev, F. M. Khusainov, I. R. Akbashev, S. V. Sadykova

“…The study was aimed at optimization of freeze-drying process for specific anti-Chlamydia serum, the serum assessment for compliance with characteristics laid down in the technical specifications for the test  kit control and testing of the serum for its stability.Materials and methods. …”
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High-Sensitivity, Low Detection Limit, and Fast Ammonia Detection of Ag-NiFe₂O₄ Nanocomposite and DFT Study by Xianfeng Hao, Yuehang Sun, Zongwei Liu, Gongao Jiao, Dongzhi Zhang

“…Ammonia (NH₃) is one of the characteristic gases used to detect food spoilage. In this study, the 10 wt% Ag-NiFe₂O₄ nanocomposite was synthesized via the hydrothermal method. …”
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Development, Validation and Approbation Analytical Method for the Quantitative Determination of Taurine by HPLC-UV Method in the Test of Comparative Dissolution Kinetics by A. M. Poluyanov, A. Kochug, L. S. Mitrofanova, I. D. Nikitin, O. Yu. Vergasov, I. E. Shohin, E. N. Fisher

“…High-performance chromatography with ultraviolet detection is a widely used method for quantification within the dissolution test, however, for taurine, which does not contain chromophore groups in its structure, this method is not directly applicable. …”
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Variational optimization for quantum problems using deep generative networks by Lingxia Zhang, Xiaodie Lin, Peidong Wang, Kaiyan Yang, Xiao Zeng, Zhaohui Wei, Zizhu Wang

“…Because the method is model agnostic, parallelizable and runs on current classical hardware, it can accelerate future variational optimization problems in quantum information, quantum computing and beyond.…”
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Remediation and stabilization of contaminated subsoil under existing buildings – case study by Ewa Iwanicka, Sylwia Janiszewska, Eugeniusz Koda

“…The increased content of the surface layer in the area of petroleum substances was neutralized by bioremediation, while in the case of detection of increased content of heavy metals in the form of arsenic at the construction site, the stabilization method designed was used. …”
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Integrating optimal terrain representations from public DEMs using spaceborne LiDAR by Xingang Zhang, Shanchuan Guo, Haowei Mu, Bo Yuan, Zilong Xia, Xiaoquan Pan, Hong Fang, Pengfei Tang, Peijun Du

“…To address this issue, this study proposes the Optimal Terrain Retrieval (OTR) method, which integrates the optimal segments from public DEMs by using spaceborne Light Detection And Ranging (LiDAR). …”
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