Wind Turbine Static Errors Related to Yaw, Pitch or Anemometer Apparatus: Guidelines for the Diagnosis and Related Performance Assessment by Davide Astolfi, Silvia Iuliano, Antony Vasile, Marco Pasetti, Salvatore Dello Iacono, Alfredo Vaccaro

“…The optimization of the efficiency of wind turbine systems is a fundamental task, from the perspective of a growing share of electricity produced from wind. …”
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Combating a Global Threat to a Clonal Crop: Banana Black Sigatoka Pathogen Pseudocercospora fijiensis (Synonym Mycosphaerella fijiensis) Genomes Reveal Clues for Disease Control. by Rafael E Arango Isaza, Caucasella Diaz-Trujillo, Braham Dhillon, Andrea Aerts, Jean Carlier, Charles F Crane, Tristan V de Jong, Ineke de Vries, Robert Dietrich, Andrew D Farmer, Claudia Fortes Fereira, Suzana Garcia, Mauricio Guzman, Richard C Hamelin, Erika A Lindquist, Rahim Mehrabi, Olman Quiros, Jeremy Schmutz, Harris Shapiro, Elizabeth Reynolds, Gabriel Scalliet, Manoel Souza, Ioannis Stergiopoulos, Theo A J Van der Lee, Pierre J G M De Wit, Marie-Françoise Zapater, Lute-Harm Zwiers, Igor V Grigoriev, Stephen B Goodwin, Gert H J Kema

“…Melting-curve assays suggest that the genomes of two closely related members of the Sigatoka disease complex, P. eumusae and P. musae, also are expanded. …”
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Achievements and prospects of applying high-throughput sequencing techniques to potato genetics and breeding by I. V. Bykova, N. A. Shmakov, D. A. Afonnikov, A. V. Kochetov, E. K. Khlestkina

“…Special attention is given to peculiarities of the models and the approaches used in potato genetic studies, taking into account the complex organization of its genome and a high level of heterozygosity. …”
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FloodNet-Lite: A Lightweight Deep Learning for Flood Mapping Using Remote Sensing Data With Optimized UNet and Edge Deployment Approach in 6G by Puviyarasi Thirugnanasammandamoorthi, Debabrata Ghosh, Ram Kishan Dewangan, Mohammad Kamrul Hasan, Khairul Akram Zainol Ariffin, Huda Saleh Abbas, Hashim Elshafie, Rashid A. Saeed, Ala Eldin Awouda

“…However, existing deep-learning (DL) models often face challenges related to computational complexity, latency, and limited scalability in dynamic and resource-constrained environments. …”
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Improved Air Mesh Refinement for Accurate Strand-Solid and Self-Collision Handling by Jong-Hyun Kim

“…Moreover, depending on scene complexity, both discrete collision detection (DCD) and continuous collision detection (CCD) often need to be considered. …”
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Main topics in assisted reproductive market: A scoping review. by Janaina Ferreira Aderaldo, Beatriz Helena Dantas Rodrigues de Albuquerque, Maryana Thalyta Ferreira Câmara de Oliveira, Mychelle de Medeiros Garcia Torres, Daniel Carlos Ferreira Lanza

“…<h4>Discussion</h4>The analysis indicates a market with expressive complexity. Most terms were associated with more than one topic, indicating the synergism of this market's behavior. …”
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A Novel LSTM Architecture for Automatic Modulation Recognition: Comparative Analysis With Conventional Machine Learning and RNN-Based Approaches by Sam Ansari, Soliman Mahmoud, Sohaib Majzoub, Eqab Almajali, Anwar Jarndal, Talal Bonny

“…This paradigm eliminates the need for manual feature extraction, enhances interpretability, and significantly boosts classification efficiency. Furthermore, the proposed framework is designed for low-complexity deployment, ensuring its scalability and suitability for next-generation wireless networks and real-time communication systems. …”
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AIRWAY ASSESSMENT IN OUTPATIENT DENTAL PRACTICE by I. А. Khrypachenko, T. V. Diomina, O. А. Udod

“…At present there are no universal or officially approved criterions for prognosis of complexity or inefficiency of supraglottic devices insertion, in spite of they are the major part of airways patency restoration algorithm. …”
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An experimental study on restoration technique for the Acropolis of Athens: developing the experimental set-up for pull-out testing of titanium bars embedded in marble blocks by Ioanna Dakanali, Aikaterini Marinelli

“…In this context, the Acoustic Emission tech­nique is employed in order to detect failure and damages at the interior of the complex. …”
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PAPR Reduction in DCO-OFDM Visible Light Communication Systems Using Optimized Odd and Even Sequences Combination by Wei-Wen Hu

“…Simulation results show that the proposed scheme can achieve comparable PAPR reduction performance with the conventional selected mapping (CSLM) scheme with random and chaotic sequences, but at a considerably low computational complexity. Moreover, the proposed blind SI detection scheme provides almost the same bit error rate (BER) performance as that of the CSLM scheme with a perfect SI detection and symmetric selected mapping for a DCO-OFDM VLC system with 1024 subcarriers and 16-QAM. …”
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A Benzimidazole-Based Fluorescent Probe for the Selective Recognition of Cobalt (II) Ions by Jing Zhu, Hua-Fen Wang, Jia-Xiang Zhang, Man Wang, Yu-Wei Zhuang, Zhi-Guang Suo, Ye-Wu He, Yan-Chang Zhang, Min Wei, Hai-Yan Zhang

“…Fluorescent probes offer high sensitivity, selectivity, a rapid response, and ease of use, making them ideal for the accurate and efficient recognition of Co²⁺ in complex samples. …”
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Tip optofluidic immunoassay: Evaluating COVID-19 antibody protection with 1 μL fingertip blood by Xiaotian Tan, Yujuan Chai, Ruihan Li, Binmao Zhang, Hao Li, Jie Zhang, Tianen Zhu, Weishu Wu, Lixiang An, Shi Hu, Bin Yang, Li Wang, Zhenqiu Cao, Hongjiu Zhang, Peng Wang, Lingling Yu, Shan Yin, Xingyu Li, Fei Shao, Jianheng Huang, Jinze Li, Fan Yang, Chao Zhao, Jiajia Guo, Lin Zeng, Dong Liang, Zhengting Zou, Hairong Zheng, Xudong Fan, Liangzhi Xie, Yunlong Cao, Hui Yang

“…TOI achieves a broad dynamic range (3–4 orders of magnitude), high signal-to-noise ratio (∼10,000), and excellent sensitivity for immunoglobulin G (IgG) detection. A renovated version of the rapid in vitro inhibition assay (RIVIA) is incorporated to evaluate neutralizing antibodies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) with greater speed and cost-efficiency. …”
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Exploring Gene Expression and Alternative Splicing in Duck Embryonic Myoblasts via Full-Length Transcriptome Sequencing by Jintao Wu, Shuibing Liu, Dongcheng Jiang, Ya’nan Zhou, Hongxia Jiang, Xiaoyun Xiao, Boqian Zha, Yukai Fang, Jie Huang, Xiaolong Hu, Huirong Mao, Sanfeng Liu, Biao Chen

“…This extensive transcriptomic investigation not only sheds light on the intricate molecular mechanisms driving skeletal muscle development in ducks but also provides significant insights for future breeding strategies aimed at enhancing the efficiency of duck production. The results emphasize the efficacy of ONT sequencing in uncovering complex regulatory networks within avian species, ultimately contributing to progress in animal husbandry.…”
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Enhanced Magnetic Resonance Imaging-Based Brain Tumor Classification with a Hybrid Swin Transformer and ResNet50V2 Model by Abeer Fayez Al Bataineh, Khalid M. O. Nahar, Hayel Khafajeh, Ghassan Samara, Raed Alazaidah, Ahmad Nasayreh, Ayah Bashkami, Hasan Gharaibeh, Waed Dawaghreh

“…Effective brain cancer detection is crucial for patients’ safety and health. …”
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High-precision segmentation and quantification of tunnel lining crack using an improved DeepLabV3+ by Zhutian Pan, Xuepeng Zhang, Yujing Jiang, Bo Li, Naser Golsanami, Hang Su, Yue Cai

“…Current semantic segmentation models have limitations in addressing tunnel lining crack, such as high complexity, misidentification, or inability to detect tiny cracks in specific practical scenarios, which is crucial for precise assessment of tunnel lining health. …”
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JET: Fast Estimation of Hierarchical Time Series Clustering by Phillip Wenig, Mathias Höfgen, Thorsten Papenbrock

“…One such application is the development of jet engines, which involves numerous test runs and failure detection processes. While effective data mining algorithms exist for the detection of anomalous and structurally conspicuous test recordings, these algorithms do not perform any semantic labeling. …”
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Optimised Extension of an Ultra-Low-Power RISC-V Processor to Support Lightweight Neural Network Models by Qiankun Liu, Sam Amiri

“…With the increasing demand for efficient deep learning models in resource-constrained environments, Binary Neural Networks (BNNs) have emerged as a promising solution due to their ability to significantly reduce computational complexity while maintaining accuracy. …”
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Ground-Independent UAV Quantitative Mapping and In Situ Experimental Validation for Coral Reef Habitats by Enze Wang, Huaguo Zhang, Yunhan Ma, Han Tong, Juan Wang, Wenting Cao, Dongling Li

“…Optically shallow waters, which host ecosystems like coral reefs, are characterized by complex radiative transfer pathways. Surface reflectance derived from remote sensing in optically shallow waters is influenced by water depth, water quality, and bottom reflectance. …”
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Synthetic Data Generation and Evaluation Techniques for Classifiers in Data Starved Medical Applications by Wan D. Bae, Shayma Alkobaisi, Matthew Horak, Siddheshwari Bankar, Sartaj Bhuvaji, Sungroul Kim, Choon-Sik Park

“…With their ability to find solutions among complex relationships of variables, machine learning (ML) techniques are becoming more applicable to various fields, including health risk prediction. …”
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IoT Based Meat Freshness Classification Using Deep Learning by Zarif Wasif Bhuiyan, Syed Ali Redwanul Haider, Adiba Haque, Mohammad Rejwan Uddin, Mahady Hasan

“…The custom CNN showed a clear advantage in handling the complex image data, particularly in distinguishing between beef and mutton species as well as their freshness levels. …”
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