Identification of Eye Diseases Through Deep Learning by Elena Acevedo, Dinora Orantes, Marco Acevedo, Ricardo Carreño

“…<b>Conclusions</b>: With the individual analysis of each metric, it can be observed that the proposed algorithm is capable of differentiating, first, images of healthy eyes from diseased ones and, second, adequately classifying eye diseases.…”
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Adaptive Radio Frequency Interference Mitigation for Passive Bistatic Radar Using OFDM Waveform by Zhixin Zhao, Sihang Zhu, Yuhao Wang, Siyuan Cheng, Sheng Hong

“…Then RFI in the effective range bins is mitigated by the subspace projection, using the correlation among different range bins. The introduced algorithm is easy to perform in practice and the RFI mitigation performance is evaluated using the experimental data of DRM-based HFPBR.…”
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Impact of dimensionality reduction techniques on student performance prediction using machine learning by Koushik Roy, Huu-Hoa Nguyen, Dewan Md. Farid

“…This reduction in dimensionality enhances the performance of predictive models and provides valuable insights into the key factors influencing student performance. The study evaluates ADRA using four different student performance datasets and six machine learning algorithms, comparing it to three existing dimensionality reduction methods. …”
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Encryption–decryption-based state estimation for nonlinear complex networks subject to coupled perturbation by Peixia Gao, Chaoqing Jia, Aozhan Zhou

“…Furthermore, a uniformly bounded condition is elaborated to evaluate the algorithm performance of EDBSE. Finally, an illustrative example is conducted to verify the validity of the introduced EDBSE method.…”
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Application of Artificial Intelligence-Based Methods in Estimating Water Consumption Productivity (Case Study: Sari City) by Ramin Fazloula, Shadi Saraf, Javad Vejahat, Alireza Emadi

“…In each section, using the appropriate algorithm, the available data has been evaluated to measure productivity.  …”
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Investigation on the Radar Scattering and Doppler Spectrum From Trimaran Based on the Motion of Six Degrees of Freedom by Yuxin Deng, Jinxing Li, Wangqiang Jiang, Min Zhang

“…The method takes into account the viscous effect of the flow field and the complexity of wave motion, which applies to the seakeeping prediction of high-speed trimaran under different sea states. Second, an accelerated geometrical optics and physical optics algorithm using the light source function (GO-PO&#x002F;LSF) is proposed, which uses the light source function to realize the visibility judgment of surfaces and greatly reduces the computation time. …”
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Flow cytometry for screening and prioritisation of urine samples: a retrospective comparison with culture by Vicky Sender, John Kerr White, Ludvig Bolinder, Karin Amilon, Mirja Hägg, Karin Haij Bhattarai, Niklas K. Björkström, Baharak Saeedi

“…Receiver operating characteristic (ROC) curve analyses assessed method agreement across different patient subpopulations. Predictive values were calculated for the total population and the ten different subpopulations at different cut-offs. …”
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A novel prediction model for the prognosis of non-small cell lung cancer with clinical routine laboratory indicators: a machine learning approach by Yuli Wang, Na Mei, Ziyi Zhou, Yuan Fang, Jiacheng Lin, Fanchen Zhao, Zhihong Fang, Yan Li

“…Subsequently, indices with statistical differences were incorporated into machine learning modeling and evaluation. …”
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A Review of Vibration Control Studies of Double-Layered Cylindrical Shells Under Transient Excitation in Water by Zhen Zhang, Yinglong Zhao, Feng Chen

“…Firstly, the vibration response mechanisms of underwater double-layered cylindrical shells are sorted through a bibliometric analysis, and the evolution laws for plate–shell structures and the vibration transmission paths for single–double-shell structures are summarized systematically; secondly, the multi-path vibration transmission characteristics of double-layered cylindrical shells are analyzed based on energy transfer theory, and the contribution to transient noise through different transmission paths is quantitatively evaluated; and thirdly, the vibration transmission characteristics of active control, passive control, and hybrid control are evaluated systematically in terms of the dimensions of the control mechanism. …”
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An Iterative Information-Theoretic Approach to the Detection of Structures in Complex Systems by Marco Villani, Laura Sani, Riccardo Pecori, Michele Amoretti, Andrea Roli, Monica Mordonini, Roberto Serra, Stefano Cagnoni

“…The method iterates two basic steps: detection of relevant variable sets based on the computation of the Relevance Index, and application of a sieving algorithm, which refines the results. This approach is able to highlight the organization of a complex system into sets of variables, which interact with one another at different hierarchical levels, detected, in turn, in the different iterations of the sieve. …”
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Study of rectangular fin heat sink performance and prediction based on artificial neural network by Zheng Lan, Yu-hao Feng, Ying-wen Liu

“…Furthermore, a multi-layer feedforward neural network based on a genetic algorithm (GA-BP) is employed to predict both Nusselt number and friction factor; subsequently evaluating these predicted results. …”
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A Reconfigurable Access Scheme for Massive-MIMO MTC Networks by Atoosa Dalili Shoaei, Duc Tuong Nguyen, Tho Le-Ngoc

“…The performance of the proposed access scheme is evaluated under different conditions to demonstrate its advantages in terms of achieved throughput and average packet delay.…”
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Fracture toughness of rough and frictional cracks emanating from a re-entrant corner by Andrea Carpinteri, Andrea Spagnoli, Michele Terzano, Sabrina Vantadori

“…In mixed-mode conditions, the competing contribution of the different stress intensity factors predicts fracture initiation load as well as crack propagation direction. …”
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A fuzzy irregular cellular automata-based method for the vertex colouring problem by Mostafa Kashani, Saeid Gorgin, Seyed Vahab Shojaedini

“…The results suggest that the proposed method is able to achieve better results in terms of the minimum number of required colours and the execution time of the algorithm, compared to other peer algorithms.…”
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Multi-Channel Fusion Decision-Making Online Detection Network for Surface Defects in Automotive Pipelines Based on Transfer Learning VGG16 Network by Jian Song, Yingzhong Tian, Xiang Wan

“…Each channel of the network is designed according to the characteristics of different types of defects. Dynamic weights are assigned to achieve decision-level fusion through the use of a matrix of indicators to evaluate the performance of each channel’s recognition ability. …”
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A vehicular network–based intelligent transport system for smart cities by Tayyaba Zaheer, Asad Waqar Malik, Anis Ur Rahman, Ayesha Zahir, Muhammad Moazam Fraz

“…The framework was evaluated on different fixed route-selection and dynamic route-selection algorithms in terms of resource usage, transmission delay, packet loss, and overall travel time. …”
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Impact Localization System of CFRP Structure Based on EFPI Sensors by Junsong Yu, Zipeng Peng, Linghui Gan, Jun Liu, Yufang Bai, Shengpeng Wan

“…The model is trained using the training set, with its parameters optimized using the sand cat swarm optimization algorithm and validation set. The localization performance of different models is then evaluated and compared using the test set. …”
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YOLOv9: A High-Performance Deep Learning Approach for Asphalt Pavement Distresses Detection in Roadway Images by Fahrizal, Siti Nurjanah, Yoan Purbolingga, Dila Marta Putri, Asde Rahmawati, Bastul Wajhi Akramunnas, Muhidin Arifin

“…This study proposes employing the deep learning algorithm YOLOv9, the latest You Only Look Once (YOLO) version, for identifying asphalt pavement distresses. …”
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Prediction of Moisture Content in Kiwi (Actinidia deliciosa) Dried Using Machine Learning Approaches by Halil Nusret BULUS, Soner CELEN

“…In this study, kiwi slices of three different thicknesses were dried using 90 W microwave power. …”
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A Computational Offloading Method for Edge Server Computing and Resource Allocation Management by Muna Al-Razgan, Taha Alfakih, Mohammad Mehedi Hassan

“…In this study, we proposed a model to evaluate the efficiency of the close-end network computation offloading in MEC. …”
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