Effect of Depth Band Replacement on Red, Green and Blue Image for Deep Learning Weed Detection by Jan Vandrol, Janis Perren, Adrian Koller

“…Automated agricultural robots are becoming more common with the decreased cost of sensor devices and increased computational capabilities of single-board computers. …”
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Bayesian calibration and uncertainty quantification for a large nutrient load impact modelZenodoZenodoZenodo by Karel Kaurila, Risto Lignell, Frede Thingstad, Harri Kuosa, Jarno Vanhatalo

“…., harmful algal biomass growth. Due to being computationally heavy, the uncertainties related to these predictions are typically not rigorously assessed though. …”
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SELECTING RATED CAPACITY FOR POWER TRANSFORMERS by M. I. Fursanov, I. I. Dul

“…The thermal transient-processes computation results for a transformer with   a 168-hour random electrical-load list demonstrate the performance capabilities of the offered  method.…”
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Compact wearable microstrip antenna design using hybrid quasi-Newton and Taguchi optimization by Archana Tiwari, Aleefia A. Khurshid, Kanhaiya Sharma

“…By implementing the proposed hybrid approach, computational time is significantly reduced by 98%, outperforming electromagnetic (EM) solvers’ built-in optimization.…”
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Privacy view and target of differential privacy by Jingyu JIA, Chang TAN, Zhewei LIU, Xinhao LI, Zheli LIU, Tao ZHANG

“…The study aimed to address the challenges in understanding the privacy goals of differential privacy by analyzing the privacy controversies surrounding it in various fields.It began with the example of data correlation and highlighted the differing perspectives among scholars regarding the targets of privacy protection.In cases where records in a dataset were correlated, adversaries can exploit this correlation to infer sensitive information about individuals, thereby sparking a debate on whether this violates privacy protection.To investigate the influence of privacy theories in the legal domain on defining privacy, two mainstream privacy theories in the computer field were examined.The first theory, limited access to personal information, focuses on preventing others from accessing an individual’s sensitive information.According to this theory, privacy mechanisms should aim to prevent adversaries from accessing a user’s actual information.In contrast, the second theory, control over personal information, emphasizes an individual’s right to communicate personal information to others.This theory suggests that the disclosure of personal information due to the relevance of others sharing data should not be considered a breach of privacy.Then the controversies of differential privacy were analyzed in the fields of computer science, social science, ethics and human-computer interaction due to their different understandings of privacy.By exploring the privacy concept of differential privacy from a multidisciplinary perspective, this study helps readers gain a correct understanding of the privacy viewpoint and goals of differential privacy while enhancing their understanding of the concept of “privacy” itself.…”
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A feature-based approach for atlas selection in automatic pelvic segmentation. by Guoping Shan, Xue Bai, Yun Ge, Binbing Wang

“…However, atlas-based segmentation still faces challenges due to the lack of representative atlas dataset and the computational limitations of deformation algorithms. …”
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Key accelerometry measures for understanding walking sway during dual-task exercises by Abdulaziz A. Alkathiry

“…Data analysis involved multiple computation methods applied to the acceleration data, with comparisons made using different frequency cutoffs and mean referencing. …”
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Occipital Condyle Fracture: A Case Report of a Typically Stable Fracture That Required Surgical Treatment by Takeshi Suzuki, Satoshi Maki, Masaaki Aramomi, Tomonori Yamauchi, Manato Horii, Koui Kawamura, Hiroshi Sugiyama, Seiji Ohtori

“…Confirming reduction of the atlantooccipital facet joint and the atlantoaxial joint by computed tomography, we performed an occipitocervical fusion. …”
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A Review on Inverse Kinematics, Control and Planning for Robotic Manipulators With and Without Obstacles via Deep Neural Networks by Ana Calzada-Garcia, Juan G. Victores, Francisco J. Naranjo-Campos, Carlos Balaguer

“…These methods can reduce the computational cost and provide results for every situation avoiding singularities. …”
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Type and cotype of some Banach spaces by Mieczyslaw Mastylo

“…Type and cotype are computed for Banach spaces generated by some positive sublinear operators and Banach function spaces. …”
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Implementation of a Transform-Minutiae Fusion-Based Model for Fingerprint Recognition by Justice Kwame Appati, Prince Kofi Nartey, Ebenezer Owusu, Ismail Wafaa Denwar

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An Efficient and Lightweight Source Privacy Protecting Scheme for Sensor Networks Using Group Knowledge by Zhiqiang Ruan, Wei Liang, Decai Sun, Haibo Luo, Fanyong Cheng

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Pattern memory cannot be completely and truly realized in deep neural networks by Tingting Li, Ruimin Lyu, Zhenping Xie

“…Abstract The unknown boundary issue, between superior computational capability of deep neural networks (DNNs) and human cognitive ability, has becoming crucial and foundational theoretical problem in AI evolution. …”
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A geometric approach for accelerating neural networks designed for classification problems by Mohsen Saffar, Ahmad Kalhor, Ali Habibnia

“…Abstract This paper proposes a geometric-based technique for compressing convolutional neural networks to accelerate computations and improve generalization by eliminating non-informative components. …”
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The User Participation Incentive Mechanism of Mobile Crowdsensing Network Based on User Threshold by Hua Su, Qianqian Wu, Xuemei Sun, Ning Zhang

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Deep Learning Approach for Ascaris lumbricoides Parasite Egg Classification by Narut Butploy, Wanida Kanarkard, Pewpan Maleewong Intapan

“…However, misclassification may occur due to their heterogeneous experience. For their reason, computer technology is considered to aid humans. With the benefit of speed and ability of computer technology, image recognition is adopted to recognize images much more quickly and precisely than human beings. …”
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Color Image Segmentation Based on Different Color Space Models Using Automatic GrabCut by Dina Khattab, Hala Mousher Ebied, Ashraf Saad Hussein, Mohamed Fahmy Tolba

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Segmentation of Juxtapleural Pulmonary Nodules Using a Robust Surface Estimate by Artit C. Jirapatnakul, Yury D. Mulman, Anthony P. Reeves, David F. Yankelevitz, Claudia I. Henschke

“…An algorithm was developed to segment solid pulmonary nodules attached to the chest wall in computed tomography scans. The pleural surface was estimated and used to segment the nodule from the chest wall. …”
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A Method for Bio-Sequence Analysis Algorithm Development Based on the PAR Platform by Haipeng Shi, Huan Chen, Qinghong Yang, Jun Wang, Haihe Shi

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Ensemble of feature augmented convolutional neural network and deep autoencoder for efficient detection of network attacks by Selvakumar B, Sivaanandh M, Muneeswaran K, Lakshmanan B

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