Advanced deep transfer learning techniques for efficient detection of cotton plant diseases by Prashant Johri, SeongKi Kim, Kumud Dixit, Prakhar Sharma, Barkha Kakkar, Yogesh Kumar, Jana Shafi, Muhammad Fazal Ijaz

“…Additionally, deep learning has begun as a powerful technique for to detect diseases in crops using images. Hence, the significance of this work lies in its potential to mitigate the impact of these diseases, which cause significant damage to the cotton and decrease fibre quality and promote sustainable agricultural practices.MethodsThis paper investigates the role of deep transfer learning techniques such as EfficientNet models, Xception, ResNet models, Inception, VGG, DenseNet, MobileNet, and InceptionResNet for cotton plant disease detection. …”
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Detection of wave activity in measurements of thermospheric vertical winds and temperatures at subauroral latitudes by Anneliese L. Schmidt, John W. Meriwether, Matthew B. Cooper, Andrew J. Gerrard, Lindsay V. Goodwin, Shun-Rong Zhang, Ying Ye

“…The need for high precision measurements of vertical winds with uncertainties on the scale of 3–5 m s−1 and a temporal cadence of 1–2 min to achieve detection of gravity wave (GW) structure has made it exceedingly difficult to study the response of the thermosphere to the propagation of GW activity. …”
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Weed detection based on deep learning from UAV imagery: A review by Lucía Sandoval-Pillajo, Iván García-Santillán, Marco Pusdá-Chulde, Adriana Giret

“…Recently, automatic weed detection techniques have been developed using UAV imagery. …”
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Image-Based Malicious Network Traffic Detection Framework: Data-Centric Approach by Doo-Seop Choi, Taeguen Kim, Boojoong Kang, Eul Gyu Im

“…Additionally, processing high-dimensional network traffic data requires substantial computational resources, limiting real-time detection capabilities in practical deployments. …”
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Optimization of pathogen detection in abscess specimens: a 6-year retrospective study by Qiangsheng Feng, Xiaoqing Ha, Wenyun Guo, Yuan Xing, Juling zhang, Chenchen Zhang, Qi Zhang, Yuejuan Song

“…These findings support the adoption of comprehensive, standardized approaches for abscess specimen processing.…”
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Securing Electric Vehicle Performance: Machine Learning-Driven Fault Detection and Classification by Mahbub Ul Islam Khan, Md. Ilius Hasan Pathan, Mohammad Mominur Rahman, Md. Maidul Islam, Mohammed Arfat Raihan Chowdhury, Md. Shamim Anower, Md. Masud Rana, Md. Shafiul Alam, Mahmudul Hasan, Md. Shohanur Islam Sobuj, Md. Babul Islam, Veerpratap Meena, Francesco Benedetto

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Simulation of Patch Field Effect in Space-Borne Gravitational Wave Detection Missions by Mingchao She, Xiaodong Peng, Li-E Qiang

“…Existing studies predominantly focus on nonuniform potential distributions while neglecting bulge effects (surface deformation caused by the adhesion of pollutants or oxides, production and processing defects, and other factors) and rely on commercial software with limited flexibility for customized simulations. …”
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Improving Multi-Class Classification for Recognition of the Prioritized Classes Using the Analytic Hierarchy Process by Algimantas Venčkauskas, Jevgenijus Toldinas, Nerijus Morkevičius

“…Machine learning (ML) algorithms are widely used in various fields, including cyber threat intelligence (CTI), financial technology (Fintech), and intrusion detection systems (IDSs). They automate security alert data analysis, enhancing attack detection, incident response, and threat mitigation. …”
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Decoupling and Collaboration: An Intelligent Gateway-Based Internet of Things System Architecture for Meat Processing by Jun Liu, Chenggang Zhou, Haoyuan Wei, Jie Pi, Daoying Wang

“…The complex multi-stage process of meat processing encompasses critical phases, including slaughtering, cooling, cutting, packaging, warehousing, and logistics. …”
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ANALYTICAL MODEL OF A DIFFERENTIAL METHOD FOR RECEIVING AND PROCESSING SIGNALS OF THE INFRARED RANGE OF WAVELENGTHS by N. S. Akinshin, Yu. I. Mamon, E. A. Staroguk

“…One of the classic methods to improve the noise immunity of passive detection of infrared wavelength range (IKSO) is a differential inclusion of pyrocatechol, placed at some distance. …”
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Acoustic virtual sensors for industrial process monitoring using non-negative matrix factorization by Clara Luzon-Alvarez, Maximo Cobos, Jesus Lopez-Ballester, Ana M. Torres-Aranda, Francesc J. Ferri

“…Abstract In modern industrial environments, efficient and non-invasive monitoring of machinery operations is crucial for ensuring process optimization and early fault detection. Traditional physical sensors, while effective, can be costly and impractical to deploy extensively across complex systems. …”
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Extraction of phenotypic parameters of litchi based on image processing and three-dimensional point cloud by Haibo CHEN, Xinglan XIANG, Kangye GONG, Zhengxin LI, Shunhao HUANG, Chunxi LI, Xiaofeng CAI, Shan ZENG

“…In order to solve the low efficiency problems of litchi postharvest grading, a method of extracting litchi phenotypic parameters by image processing and three-dimensional point cloud technology was proposed, to obtain a variety of phenotypic traits at one time. …”
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Mathematical model of the process for diagnosing defects in aircraft structure elements made of composite materials by I. A. Davydov

“…Standardization of diagnostic processes and the introduction of new technologies in the field of defect detection represent important directions for future research. …”
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Smart Car Damage Assessment Using Enhanced YOLO Algorithm and Image Processing Techniques by Muhammad Remzy Syah Ramazhan, Alhadi Bustamam, Rinaldi Anwar Buyung

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Benefits and Limitations of Lean Tools in the Building Design Process: A Functional and Comparative Analysis by Adriana Luna, Rodrigo F. Herrera, Karen Castañeda, Edison Atencio, Clarissa Biotto

“…A systematic literature review and expert validation process led to the identification of 16 Lean tools and 26 design-related functionalities. …”
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Fault Information Processing of Power Dispatching Communication System Combining MMSE Algorithm and LMS by Lianrong Pan, Xiao Yang, Yuan Fu, Yuyang Hu, Shangbin Yuan

“…Finally, the study establishes a novel fault information processing model for the power dispatching communication system by combining the least mean square error detection algorithm and the least mean square filtering algorithm. …”
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Cancers missed, women dismissed yet persist: natural language processing of online forums by Kathleene T. Ulanday, Maxim Topaz, Jeanette Shekelle, Marley Gibbons, Desiree Walker, Paula M. Castaño, Amanda Nixon, Stacy Lewis, Mary Beth Terry, Lauren C. Houghton

“…We used natural language processing to detect codes: “first signs and symptoms,” “steps to diagnosis,” “healthcare interactions,” “patient-provider-system feelings,” and “staging/type.” …”
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Effects of Processing Difficulty on Eye Movements in Reading: A Review of Behavioral and Neural Observations by Shun-nan Yang

“…These findings are inter-preted in the context of reading, where the detection of processing difficulty allows a suppression signal to supersede a forward saccade signal in a time race. …”
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Fault Diagnostic Method for Pump Running Conditions Based on Process Modeling and Neural Network by T. Uchiyama, S. Kallweit, H. Siekmann

“…The method is a combination of a process modeling and a classification procedure. The pump head and hydraulic losses in the pipe system are modeled by two equations. …”
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Identification Method of Dynamic Propagation Process of Rock Fracture Based on Ground Penetrating Radar by CHEN Jun, ZHANG Bo, ZHUANG Xingyue, SONG Zhishu, ZHENG Jun

“…This technique allows for a more comprehensive understanding of the fracture propagation process, capturing details that would be missed with a single detection perspective.Furthermore, the study explores the potential of combining GPR with other monitoring techniques and artificial intelligence algorithms. …”
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