Holomorphic embedding method for large-scale reverse osmosis desalination optimization by Junzhi Chen, Tao Wang, Jiu Luo, Hongbo Chen, Yi Heng

“…The proposed computational method in this work has great application potential in engineering design.…”
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H.264 SVC Complexity Reduction Based on Likelihood Mode Decision by L. Balaji, K. K. Thyagharajan

“…Scaling consumes more encoding time and computational complexity during mode selection. In this paper, to reduce encoding time and computational complexity, a fast mode decision algorithm based on likelihood mode decision (LMD) is proposed. …”
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Efficient Privacy-Preserving Protocol for k-NN Search over Encrypted Data in Location-Based Service by Huijuan Lian, Weidong Qiu, Di Yan, Zheng Huang, Jie Guo

“…Experiments show that the proposed scheme provides high accuracy query results while maintaining low computation and communication cost.…”
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Partially policy hidden CP-ABE supporting dynamic policy updating by Zuo-bin YING, Jian-feng MA, Jiang-tao CUI

“…Ciphertext-policy attribute-based encryption (CP-ABE) was considered to be appropriate for cloud storage.However,under traditional CP-ABE scheme which was limited in terms of the scale of the data and the quantities of the attributes,computation and communication costs would be introduced correspondingly whenever the data owner wants to update the policy.Moreover,the policy which was stored in the form of plaintext would also result in privacy leakage.Aiming at tackling the above two problems,a novel scheme called partially policy hidden CP-ABE supporting dynamic policy updating (DPUPH-CP-ABE) was proposed.Through utilizing proposed scheme,the computation cost will be reduced,especially on user side,leaving the most computational work to the cloud server.Meanwhile,the value of the user’s attributes will never be revealed to any third parties,and the users’ privacy will be effectively preserved.Besides,the scheme is proved to be adaptively chosen plaintext attack (CPA) secure in the standard model and can support any types of policy updating.…”
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Cooperative Coevolution with Two-Stage Decomposition for Large-Scale Global Optimization Problems by H. D. Yue, Y. Sun

“…However, CC with static decomposition method is ineffective for fully nonseparable problems, and CC with dynamic decomposition method to decompose problems is computationally costly. Therefore, a two-stage decomposition (TSD) method is proposed in this paper to decompose LSGO problems using as few computational resources as possible. …”
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Cancer of the Pancreas: The Best Image for Early Detection – CT, MRI, PET or US? by Anthony E Hanbidge

“…Abdominal ultrasound, computed tomography, magnetic resonance imaging and endoscopic retrograde cholangiopancreatography are the most commonly used radiological techniques for imaging the pancreas. …”
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Multilayer Perceptron for Robust Nonlinear Interval Regression Analysis Using Genetic Algorithms by Yi-Chung Hu

“…On the basis of fuzzy regression, computational models in intelligence such as neural networks have the capability to be applied to nonlinear interval regression analysis for dealing with uncertain and imprecise data. …”
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Accelerating Smith-Waterman Alignment for Protein Database Search Using Frequency Distance Filtration Scheme Based on CPU-GPU Collaborative System by Yu Liu, Yang Hong, Chun-Yuan Lin, Che-Lun Hung

“…Recently, several works have adopted the graphic card with Graphic Processing Units (GPUs) and their associated CUDA model to enhance the performance of SW computations. However, these works mainly focused on the protein database search by using the intertask parallelization technique, and only using the GPU capability to do the SW computations one by one. …”
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A stochastic artificial neural network model for investigating street vendor behavior in a night market by Pao-Kuan Wu, Tsung-Chih Hsiao, Ming Xiao

“…This article offers a hybrid computational approach that combines an artificial neural network with Bayesian probability to improve on the conventional artificial neural network model. …”
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Normal Form for High-Dimensional Nonlinear System and Its Application to a Viscoelastic Moving Belt by S. P. Chen, Y. H. Qian

“…This paper is concerned with the computation of the normal form and its application to a viscoelastic moving belt. …”
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On the security of a provably secure, efficient, and flexible authentication scheme for ad hoc wireless sensor networks by Jun He, Zheng Yang, Jianxun Zhang, Wanping Liu, Chao Liu

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In search of a warning strategy against exchange-rate attacks: Forecasting tactics using artificial neural networks by A. S. Andreou, G. A. Zombanakis, E. F. Georgopoulos, S. D. Likothanassis

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State of the Art of Fuzzy Methods for Gene Regulatory Networks Inference by Tuqyah Abdullah Al Qazlan, Aboubekeur Hamdi-Cherif, Chafia Kara-Mohamed

“…Increasing computational power and high throughput technologies have provided powerful means to manage these challenging digital ecosystems at different levels from cell to society globally. …”
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Study of Query Expansion Techniques and Their Application in the Biomedical Information Retrieval by A. R. Rivas, E. L. Iglesias, L. Borrajo

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Predicting cell morphological responses to perturbations using generative modeling by Alessandro Palma, Fabian J. Theis, Mohammad Lotfollahi

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Planning Optimization of the Distributed Antenna System in High-Speed Railway Communication Network Based on Improved Cuckoo Search by Zhaoyu Chen, Yanheng Liu, Geng Sun, Xu Zhou, Boyu Li, Shuang Liang, Qianyu Zhou

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ABioNER: A BERT-Based Model for Arabic Biomedical Named-Entity Recognition by Nada Boudjellal, Huaping Zhang, Asif Khan, Arshad Ahmad, Rashid Naseem, Jianyun Shang, Lin Dai

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Efficient Parallel Implementation of Active Appearance Model Fitting Algorithm on GPU by Jinwei Wang, Xirong Ma, Yuanping Zhu, Jizhou Sun

“…However, the high-dimensional texture representation causes very time-consuming computations, which makes the AAM difficult to apply to real-time systems. …”
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Revealing the Role of X12Y12 Nanocages (X = B, In; Y = N, Sb) in NH3 Gas Adsorption: toward Gas Sensor Application by Erlan Fadhlan Hidayat, Silmi Rahma Amelia, Nita Dwi Fitriani, Issana Pramordha Wardhani, Rike Pradila, Alif Ijlal Wafi, Nadia Maharani Chadiza, Tety Sudiarti, Yuly Kusumawati, Fahdzi Muttaqien, Atthar Luqman Ivansyah

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Gaussian Process Regression and Machine Learning Methods for Carbon-Based Material Adsorption by Manar Ahmed Hamza, Maha M. Althobaiti, Fahd N. Al-Wesabi, Rana Alabdan, Hany Mahgoub, Anwer Mustafa Hilal, Abdelwahed Motwakel, Mesfer Al Duhayyim

“…Machine learning (ML) approaches were used to create generalized computation methods for tetracycline (TC) and sulfamethoxazole (SMX) adsorption in CBMs in this investigation. …”
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