Joint Distributed Computation Offloading and Radio Resource Slicing Based on Reinforcement Learning in Vehicular Networks by Khaled A. Alaghbari, Heng-Siong Lim, Charilaos C. Zarakovitis, N. M. Abdul Latiff, Sharifah Hafizah Syed Ariffin, Su Fong Chien

“…Computation offloading in Internet of Vehicles (IoV) networks is a promising technology for transferring computation-intensive and latency-sensitive tasks to mobile-edge computing (MEC) or cloud servers. …”
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The use of a convolutional neural network to automate radiologic scoring of computed tomography of paranasal sinuses by Daniel J. Lee, Mohammad Hamghalam, Lily Wang, Hui-Ming Lin, Errol Colak, Muhammad Mamdani, Amber L. Simpson, John M. Lee

“…This proof-of-concept study aimed to develop an automated algorithm combining a convolutional neural network (CNN) for sinus segmentation with post-processing to compute LMS directly from CT scans. Results Radiology Information System was queried for outpatient paranasal sinus CTs at a tertiary institution. …”
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Anatomic characteristics of the lacrimal sac and adjacent bony structures–a computed tomographic-dacryocystography research by Xin-Han Cui, Yan-Wen Fang, Li-Min Zhang, Ji-Ni Qiu, Chao-Ran Zhang, Yan Wang

“…Horizontally, the junction between the maxillary bone and the lacrimal bone (MB-LB) was close to, mostly (60.2%) posterior to, the lacrimal sac. The uncinate process was more frequently attached to the lacrimal bones (75.1%). …”
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Enhancing Radiomics Reproducibility: Deep Learning-Based Harmonization of Abdominal Computed Tomography (CT) Images by Seul Bi Lee, Youngtaek Hong, Yeon Jin Cho, Dawun Jeong, Jina Lee, Jae Won Choi, Jae Yeon Hwang, Seunghyun Lee, Young Hun Choi, Jung-Eun Cheon

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Blockchain enhanced distributed denial of service detection in IoT using deep learning and evolutionary computation by V. V. S. H. Prasad, Swathi Sowmya Bavirthi, C. S. S. Anupama, E. Laxmi Lydia, K. Sathesh Kumar, Khalid Ammar, Mohamad Khairi Ishak

“…The attack classification process employs the deep belief network (DBN) technique. …”
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Dense Matching with Low Computational Complexity for Disparity Estimation in the Radargrammetric Approach of SAR Intensity Images by Hamid Jannati, Mohammad Javad Valadan Zoej, Ebrahim Ghaderpour, Paolo Mazzanti

“…Local methods, while having higher accuracy, especially in low-texture SAR images, require larger kernel sizes, leading to quadratic computational complexity. Conversely, global and semi-global models produce more consistent and higher-quality disparity maps but are computationally more intensive than local methods with small kernels and require more memory (RAM). …”
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An advanced direct torque control for doubly fed induction motor using evolutionary computational techniques by Said Mahfoud, Najib El Ouanjli, Aziz Derouich, Abderrahman El Idrissi, Elmostafa Chetouani, Azeddine Loulijat, Shimaa A. Hussien, Mohamed I. Mosaad

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The Physicochemical Characterisation and Computational Studies of Tilapia Fish Scales as a Green Inhibitor for Steel Corrosion by Ntiyiso Faith Nyambi, Kasturie Premlall, Krishna Kuben Govender

“…The FSs were subjected to a maceration process to extract all the inorganic and organic compounds. …”
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Computationally Efficient Single Layer Transformer Convolutional Encoder for Accurate Price Prediction of Agriculture Commodities by Caceja Elyca Anak Bundak, Mohd Amiruddin Abd Rahman, Nurin Syazwina Mohd Haniff, Nur Syaiful Afrizal, Khairul Adib Yusof, Muhammad Khalis Abdul Karim, Md Shuhazlly Mamat, Romi Fadillah Rahmat

“…To obtain accurate predictions, the process usually involves large and complex datasets, which would add to computational costs for developing a model with good performance. …”
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Computational Analysis of an Ammonia Combustion System for Future Two-Stroke Low-Speed Marine Engines by Jose R. Serrano, Ricardo Novella, Héctor Climent, Francisco José Arnau, Alejandro Calvo, Lauge Thorsen

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Dual-Mode Visual System for Brain–Computer Interfaces: Integrating SSVEP and P300 Responses by Ekgari Kasawala, Surej Mouli

“…In brain–computer interface (BCI) systems, steady-state visual-evoked potentials (SSVEP) and P300 responses have achieved widespread implementation owing to their superior information transfer rates (ITR) and minimal training requirements. …”
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Investigating the development of piglet feeding behaviour during the immediate postweaning phase using computer vision by T. Van De Putte, C. Van Kerschaver, M. Hostens, J. Degroote

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Identifying stochastic oscillations in single-cell live imaging time series using Gaussian processes. by Nick E Phillips, Cerys Manning, Nancy Papalopulu, Magnus Rattray

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Nonlocal flat optics for size-selective image processing and denoising by Sandeep Kumar Chamoli, Chunqi Jin, Yandong Fan, Mehdi Kiani, Heedong Goh, Chen Huang, Shuyu Guo, Yuntong Wang, Fei Zhu, Guohua Xing, Bo Li, Tian Bai, Andrea Alù, Wei Li

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Optimization technology for regional climate model-CWRF based on domestic Sunway many-core architecture by Lv Xiaojing, Liu Zhao, Cai Huiyi, Li Jinwei

“…Memory access optimization, Cache hit rate optimization, many-core acceleration models are introduced to speedup CWRF relating to the dynamic-core process, physical process and I/O process. The results show that the average speed of the dynamic process is 2 times and the highest speed is 6.4 times, the average speed of the physical process is 1.7 times and the highest speed is 5.4 times, the I/O process speeds up 1.2 times, the overall program speeds up to 1.4 times, and the calculation error is reasonable.…”
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Computing with electromagnetic fields rather than binary digits: a route towards artificial general intelligence and conscious AI by Johnjoe McFadden

“…According to the theory, non-conscious brain processing occurs solely within the EM field-insensitive digital neuronal network, enabling fast, parallel computations, but cannot form complex, integrated concepts, so it is limited to specialised functions necessary for tasks like motor coordination. …”
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Interactive Visualization Platform Based on MapReduce by Jialiang Wang, Bo Qin, Jianjian Liu, Ni Liu

“…For dealing with the problem of ocean data's interactive visualization, this paper proposes an interactive visualization platform architecture based on cloud computing. It inserts GPU, MPI parallel computing into MapReduce mechanism of Hadoop to realize the parallel processing of large-scale ocean environment data sets, such as data retrieval, data extraction, data interpolation, analysis of characteristics' visualization, so that the massive data's visualization can be processed in the remote interactive way. …”
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Interactive Visualization Platform Based on MapReduce by Jialiang Wang, Bo Qin, Jianjian Liu, Ni Liu

“…For dealing with the problem of ocean data's interactive visualization, this paper proposes an interactive visualization platform architecture based on cloud computing. It inserts GPU, MPI parallel computing into MapReduce mechanism of Hadoop to realize the parallel processing of large-scale ocean environment data sets, such as data retrieval, data extraction, data interpolation, analysis of characteristics' visualization, so that the massive data's visualization can be processed in the remote interactive way. …”
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Image Preprocessing Framework for Time-domain Astronomy in the Artificial Intelligence Era by Liang Cao, Peng Jia, Jiaxin Li, Yu Song, Chengkun Hou, Yushan Li

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Identifying method for opinion leaders in social network based on competency model by Bo CHEN, Xiang-yan TANG, Ling YU, Ya-shang LIU

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