An Evolutionary Toolchain for Morphological Filter Mapping on Many-Core Architectures by Emerson C. Pedrino, Denis P. Lima, Igor F. Gallon, Valentin O. Roda, Naijia Liu, Gianluca Tempesti

“…The approach presented in this paper explores a two-phase design-time optimization toolchain based on evolutionary algorithms: a front-end single-objective algorithm decomposes a MM filter using smaller operators, while a back-end multi-objective (fault-tolerance, energy, and communication) algorithm searches for optimal mappings of the filter on a specific many-core system, taking into account the architectural parameters of the hardware. …”
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A feature selection method with feature ranking using genetic programming by Guopeng Liu, Jianbin Ma, Tongle Hu, Xiaoying Gao

“…Feature selection based on evolutionary computation (EC) algorithms can often achieve better classification performance because of their global search ability. …”
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Effectiveness and priority of irradiation and six NSAIDs in prevention heterotopic ossification after total hip arthroplasty: a network meta-analysis of randomized controlled studi... by Fei Yang, Fei Yang, Lei Wen, Lei Wen, Changshun Chen, Changshun Chen, Qiao Zhao, Zhiwei Feng, Zhiwei Feng, Bin Ran, Xuwei Luo, Dongqin Xiao, Qifan Fang

“…To minimize bias in literature evaluation, two authors independently searched and assessed the articles. In cases of disagreement, a third author was consulted. …”
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Multiobjective Resource-Constrained Project Scheduling with a Time-Varying Number of Tasks by Manuel Blanco Abello, Zbigniew Michalewicz

“…In particular, McBAR is compared to a technique called, Estimation Distribution Algorithm (EDA). …”
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Image Matting using Superpixels Centroid by Anam Akbar, Aniqa Shirazi, Mohammad Sarim Farooqui

“…Results are evaluated on different images on online benchmark dataset for image matting. Results are comparable to the different matting algorithms applied independently on images of dataset. …”
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Prospects of phytopreparations based on Calendula officinalis in complex treatment of chemical burn of the esophagus by M. L. Voskresenskaya, A. N. Plekhanov, B. D. Dorzhiev, S. V. Tsyrempilov

“…The lack of standardized approach in treatment of local changes in chemical burns of the esophagus, severe and unsatisfactory results of using medication algorithms inspire a search for alternative methods of treatment and drug development. …”
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FAULT FEATURE EXTRACTION OF ROLLING ELEMENT BEARINGS BASED ON ADAPTIVE MCKD by CHEN BingYan, SONG DongLi, ZHANG WeiHua, CHENG Yao, LI JiaYuan

“…Considering the shortcomings of the maximum correlated kurtosis deconvolution（MCKD） method that cannot automatically identify the period of bearing fault impulses,exists the resampling process and the multiple input parameters,an adaptive maximum correlated kurtosis deconvolution（AMCKD） method is proposed.The periodic modulation intensity（PMI） of envelope signal is used to identify the period of bearing fault impulses adaptively.Moreover,the period is constantly updated during searching for the optimal deconvolution filter iteratively,so that the real fault period is gradually approximated.Finally,the filtered signal with the largest correlated kurtosis is selected as the optimal deconvolution signal.Compared with MCKD method,AMCKD method can identify fault impulse period adaptively,avoid signal resampling process,and reduce the input parameters of the algorithm.Simulated and experimental results verify the effectiveness of this method in early fault feature extraction of rolling bearings,and the comparison with fast kurtogram method shows the superiority of AMCKD method in enhancing periodic impulse characteristics.…”
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Accelerating automatic model finding with layer replications case study of MobileNetV2. by Kritpawit Soongswang, Chantana Chantrapornchai

“…In this paper, we propose a method to reduce the model architecture searching time. We consider MobileNetV2 for 3D face recognition tasks as a case study and introducing the layer replication to enhance accuracy. …”
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New Design of Smooth PSO-IPF Navigator With Kinematic Constraints by Mahsa Mohaghegh, Hedieh Jafarpourdavatgar, Samaneh-Alsadat Saeedinia

“…In addition, while PSO efficiently explores solution spaces, it generates long paths and has limited global search. On the contrary, PF methods offer concise paths but struggle with distant targets or obstacles. …”
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Fast Visual Tracking With Robustifying Kernelized Correlation Filters by Qianbo Liu, Guoqing Hu, Md Mojahidul Islam

“…Robust visual tracking is a challenging work because the target object suffers appearance variations over time. Tracking algorithms based on correlation filter have presently attracted much attention because of their high efficiency and computation speed. …”
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The resource theory of tensor networks by Matthias Christandl, Vladimir Lysikov, Vincent Steffan, Albert H. Werner, Freek Witteveen

“…The resource theory of tensor networks allows to compare different entanglement structures and should lead to more efficient tensor network representations and contraction algorithms.…”
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Dynamic Multi-Population Mutation Architecture-Based Equilibrium Optimizer and Its Engineering Application by Xiangdong Wu, Kaoru Hirota, Yaping Dai, Shuai Shao

“…The comparison results reveal that the DMMAEO has superiority in the performance assessment of seeking global optimum over other compared algorithms. The DMMAEO is further employed in addressing six engineering design problems and a UGV multi-target path planning problem. …”
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A Complex Network of MicroRNAs Expressed in Brain and Genes Associated with Amyotrophic Lateral Sclerosis by Santosh Shinde, Neelima Arora, Utpal Bhadra

“…For exploring the role of microRNAs in genes regulation in ALS disease, miRanda was employed for prediction of target sites of miRNAs expressed in various parts of brain and CNS on 35 genes associated with ALS. Similar search was conducted using TargetScan and PicTar for prediction of target sites in 3′ UTR only. 1456 target sites were predicted using miRanda and more target sites were found in 5′ UTR and CDS region as compared to 3′ UTR. 11 target sites were predicted to be common by all the algorithms and, thus, these represent the most significant sites. …”
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Artificial Intelligence-Assisted Fresco Restoration with Multiscale Line Drawing Generation by Guanghui Song, Hai Wang

“…An improved generative adversarial network structure is proposed to address the shortcomings of the existing network structure in mural defect restoration, and the effectiveness of the improved modules of the network is verified. Compared with the existing mural restoration algorithms on the test data experimentally verified, the peak signal-to-noise ratio (PSNR) score is improved by 4% and the structural similarity (SSIM) score is improved by 2%.…”
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Marine Voyage Optimization and Weather Routing with Deep Reinforcement Learning by Charilaos Latinopoulos, Efstathios Zavvos, Dimitrios Kaklis, Veerle Leemen, Aristides Halatsis

“…Fine tuning is quick enough for en-route adjustments and for updating the offline planning for different dates where the weather might be very different. The models are compared to classical and heuristic methods: the DDPG achieved a 4% lower fuel consumption than the DDQN and was only outperformed by Tabu Search by 1%. …”
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Hybrid closed-loop systems for managing blood glucose levels in type 1 diabetes: a systematic review and economic modelling by Asra Asgharzadeh, Mubarak Patel, Martin Connock, Sara Damery, Iman Ghosh, Mary Jordan, Karoline Freeman, Anna Brown, Rachel Court, Sharin Baldwin, Fatai Ogunlayi, Chris Stinton, Ewen Cummins, Lena Al-Khudairy

“…Outcomes were superior in the hybrid closed-loop arm compared with the comparator arm. The cost-effectiveness search identified six studies that were included in the systematic review. …”
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Chemical Reaction Optimization for Minimum Weight Dominating Set by A. Pritam Khan Boni, B. Md. Rafiqul Islam

“…In recent times, the chemical reaction optimization algorithm (CRO) has shown its supremacy in solving these types of problems. …”
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A Visual Measurement Method for Large-Sized Parts by Junkai Yang

“…On this basis, an automatic acquisition platform of battery box part images is built, part image samples are collected, and test experiments and algorithm comparisons are conducted in this way. The experimental results show that the machine vision-based battery box part dimensions measurement method proposed in this paper improves the current measurement efficiency by more than 50 times, the measurement error meets the engineering requirements, and the measurement accuracy is also significantly improved compared with other methods, and has good robustness.…”
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Investigation of the impact of service parameters on the degree of passenger satisfaction based on the application of the apparatus of neural networks by S. S. Pastukhov, K. V. Stel’Mashenko

“…The approbation results of the apparatus of neural networks on sets of marketing data concerning various aspects of passenger service at stations and in trains are presented, as well as an estimation of the efficiency of using neural networks in comparison with the algorithms of ordinal logistic and linear regression. …”
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Diagnosis of knee meniscal injuries using artificial intelligence: A systematic review and meta-analysis of diagnostic performance. by Soheil Mohammadi, Ali Jahanshahi, Mohammad Shahrabi Farahani, Mohammad Amin Salehi, Negin Frounchi, Ali Guermazi

“…<h4>Conclusion</h4>The results of this study imply the lower diagnostic performance of AI-based algorithms in knee meniscal injuries compared with clinicians.…”
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