A framework for assessing reliability of observer annotations of aerial wildlife imagery, with insights for deep learning applications. by Rowan L Converse, Christopher D Lippitt, Steven E Sesnie, Grant M Harris, Matthew J Butler, David R Stewart

“…There is growing interest in using deep learning models to automate wildlife detection in aerial imaging surveys to increase efficiency, but human-generated annotations remain necessary for model training. …”
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RACF: A Multimodal Deep Learning Framework for Parkinson’s Disease Diagnosis Using SNP and MRI Data by Jiangbo Cao, Xiaojing Long

“…In contrast to traditional methods, deep learning models are capable of processing large-scale, high-dimensional, and complex datasets to automatically learn latent feature relationships, making them particularly suitable for scenarios involving multimodal data fusion. …”
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Study on the fusion of improved YOLOv8 and depth camera for bunch tomato stem picking point recognition and localization by Guozhu Song, Jian Wang, Rongting Ma, Yan Shi, Yaqi Wang

“…The experimental results demonstrate that the algorithm accurately identifies and locates the picking points of string tomatoes under complex background conditions, with the identification success rate of the picking points reaching 91.3%. …”
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A comprehensive review-current development in spectroscopic and chromatographic techniques for natural product analysis by Abraham Dilnesa Gashaw, Mekonnen Abebayehu Desta, Estifanos Ele Yaya

“…Current research on plant secondary metabolites is limited by low detection sensitivity, incomplete spectral databases, and challenges in separating complex mixtures. …”
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Practical Aspects of Using Artificial Intelligence Programs in the Analytical Work of the Department by Chupryna Leonid

“…Certain services that allow one to detect fake images, videos, other interventions, and content manipulation, are provided. …”
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Opportunities, challenges, and interventions for agriculture 4.0 adoption by Shanmugam Vijayakumar, Varunseelan Murugaiyan, S. Ilakkiya, Virender Kumar, Raman Meenakshi Sundaram, Rapolu Mahender Kumar

“…It automates farm operations, enhances crop yield, food quality, safety, traceability, resource use efficiency, early issue detection, and minimises waste. …”
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Basketball teaching methods based on 3D-Convolutional neural network by Chao Huang, Xian Wu

“…The optimized algorithm is then used for video skilled movement detection processing to obtain cropped frame images. …”
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Toward Adaptive Unsupervised and Blind Image Forgery Localization with ViT-VAE and a Gaussian Mixture Model by Haichang Yin, KinTak U, Jing Wang, Wuyue Ma

“…Experimental results on benchmark datasets demonstrate that DVVG not only enhances VAE performance but also improves efficiency in modeling complex latent distributions. …”
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The role of a national evaluation system in promoting dairy sustainability* by Asha M. Miles, Kristen L. Parker Gaddis, John B. Cole, Robert H. Fourdraine

“…The dairy industry has achieved tremendous gains in productive efficiency following decades of work with these goals in mind. …”
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Link Prediction in Social Networks Using the HTOA by Foad Asef, Vahid Majidnezhad, Mohammad-Reza Feizi-Derakhshi

“…Social networks are complex and dynamic data structures whose analysis holds significant importance. …”
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Rapid diagnosis of power battery faults in new energy vehicles based on improved boosting algorithm and big data by Jiali Wang, Jia Chen

“…Big data refers to large-scale, complex datasets that exceed traditional data processing capabilities. …”
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Enhancing Vegetation Mapping in Mexico through Artificial Intelligence and Remote Sensing Techniques by R. Orozco Gálvez, H. Ramos Ramos, J. C. Camacho Pérez, J. L. Ornelas de Anda, C. M. López López, A. K. Ahedo Díaz

“…This remarkable ecological variety is influenced by the country’s complex topography, diverse climates, and varying soil conditions. …”
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Mobile Mapping System for Urban Infrastructure Monitoring: Digital Twin Implementation in Road Asset Management by Vittorio Scolamiero, Piero Boccardo, Luigi La Riccia

“…The goal of urban digitalization is to provide a digital representation of physical infrastructure, data, information, and procedures for the management of complex anthropogenic systems. To meet this new goal, one must be able to understand the urban system through the integrated use of different methods in a multi-level approach. …”
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Pre-mRNA processing factors differentially impact coordination between co-transcriptional cleavage and transcription termination by Xianhao Jin, Juzuo Li, Wenqin Lu, Xian Deng, Yanping Wei, Yi Shu, Bo Liu, Zhijian Liu, Yanping Long, Xinlong Zhu, Qili Fei, Yiji Xia, Qingshun Q. Li, Scott D. Michaels, Xiaofeng Cao, Michael Lenhard, Jixian Zhai

“…Our results reveal diverse roles for these processing factors in coordinating cleavage and termination: core components of CPSF and CstF complex stimulate both cleavage and termination, facilitating access to exoribonuclease AtXRN3; mutations in nuclear poly(A) polymerase PAPS1 and AtXRN3 caused delayed termination with minimal effects on cleavage, suggesting their roles are further downstream; BORDER proteins facilitate termination while simultaneously inhibiting cleavage, suggesting a complex interplay between these two actions; the phosphatase SSU72 specifically promotes efficient termination without affecting cleavage. …”
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Wavelet Transform Aided Single-Carrier FDMA With Index Modulation by Zhou Lu, Mohammed El-Hajjar, Lie-Liang Yang

“…Correspondingly, we propose different detection schemes, including Maximum Likelihood Detection (MLD), Simplified Maximum Likelihood Detection (SMLD), and the Two Stage Index-QAM Detection (TSD). …”
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Hybrid FFT-ARMA-Burg Modeling and LSTM-Enhanced BBO Optimization for Fault Diagnosis in Induction Motors by Khadidja Boudraa, Mohammed Assam Ouali, Mohamed Ladjal

“… Induction motors (IM) are crucial in industrial systems, and fault diagnosis reliably and effectively is of importance for maintaining efficiency. The detection of a broken rotor bar(RBB) is one of the most challenging tasks in condition monitoring due to the complexity of fault features in motor current signals. …”
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Biotransformation of Acetaminophen by <i>Ganoderma parvulum</i> Ligninolytic Enzymes Immobilized on Chitosan Microspheres by María Alejandra Flórez-Restrepo, Xiomara López-Legarda, Magdalena de Jesús Rostro-Alanis, Roberto Parra-Saldívar, Freimar Segura-Sánchez

“…Among these, acetaminophen (paracetamol) is one of the most frequently detected pharmaceutical pollutants in aquatic environments. …”
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Neural network quantification for solar radiation prediction: An approach for low power devices by Brenda Alejandra Villamizar-Medina, Angelo Joseph Soto Vergel, Byron Medina-Delgado, Darwin Orlando Cardozo-Sarmiento, Dinael Guevara-Ibarra, Oriana Alexandra Lopez-Bustamante

“…Quantization enables complex predictive models to run on low-cost, energy-efficient devices, thereby democratizing advanced prediction technologies for critical applications like solar energy generation. …”
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A deep neural network model with spectral correlation function for electrocardiogram classification and diagnosis of atrial fibrillation by Sara Mihandoost

“…The obtained results demonstrate that the proposed approach efficiently represents ECG signals through SCF coefficients, leading to the accurate detection of AF with an average accuracy of 92.76% and an average F1-score of 89.1%.…”
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Application of Concentration-Area fractal modeling and artificial neural network to identify Cu, Zn±Pb geochemical anomalies in Hashtjin area, NW of Iran by Ali Imamalipour, Hamed Ebrahimi, Amir reza Abdollahpur

“…Results The study area exhibits complex geochemical features. In such a complex setting, it is essential to implement multiple methods in combination to separate anomalies from the background accurately. …”
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