Performance Evaluation of Laboratory Management System Based on BP Neural Network by Anjie Su, Zhigang Wu, Yifeng Yin

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A Novel Approach for Optimal Multimedia Data Distribution in Mobile Cloud Computing by Pham Phuoc Hung, Mohammad Aazam, Tien-Dung Nguyen, Eui-Nam Huh

“…Our work comes up with both numerical analysis and simulation to justify the validity and the effectiveness of the proposal approach.…”
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Research of channel quantization and feedback strategies based on multiuser diversity MIMO-OFDM systems by LIANG Xue-jun, ZHU Guang-xi, SU Gang, WANG De-sheng

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Parametric Study on the Influence of Warping Deformation upon Natural Frequencies of Die Springs by Ying Hao, Junfeng Guan

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Modelling the Control of the Impact of Fall Armyworm (Spodoptera frugiperda) Infestations on Maize Production by Salamida Daudi, Livingstone Luboobi, Moatlhodi Kgosimore, Dmitry Kuznetsov

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Mobile Performance Intelligent Evaluation of IoT Networks Based on DNN by Zhen Tang, Xiaobin Fu, Pingping Xiao

“…Employing the deep neural network (DNN), an OP intelligent prediction algorithm is proposed. Then, the numerical simulations are conducted to confirm the ASEP and OP performance analysis. …”
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Promoting the Patriotic Agenda on Social Media among Russian Students by R. V. Parma

“…The methods of open sociological and statistical data analysis, cognitive content mapping and automated social media analysis were used to determine the content and intensity of the impact of opposing patriotic and anti-patriotic information flows in the Russian segment of social media on the social values and attitudes of student youth. …”
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Project Portfolio Resource Risk Assessment considering Project Interdependency by the Fuzzy Bayesian Network by Libiao Bai, Kaimin Zhang, Huijing Shi, Min An, Xiao Han

“…To reduce the subjectivity of expert judgments, the expert weights are determined by combining experts’ background and reliability degree of expert judgments. A numerical analysis is used to demonstrate the application of the proposed methodology. …”
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Regional consensus of switched positive multi-agent systems with multiple equilibria by Junfeng Zhang, Pei Zhang, Tarek Raïssi, Bhatti Uzair Aslam

“…A distributed proportional-integral-derivative control protocol is developed by integrating the communication protocol, agent state, and consensus error. …”
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Dynamic Behavior and Fixed-Time Synchronization Control of Incommensurate Fractional-Order Chaotic System by Xianchen Wang, Zhen Wang, Shihong Dang

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Consensus Tracking of Fractional-Order Multiagent Systems via Fractional-Order Iterative Learning Control by Shuaishuai Lv, Mian Pan, Xungen Li, Qi Ma, Tianyi Lan, Bingqiang Li, Wenyu Cai

“…Extensive numerical simulations are given to demonstrate the feasibility and effectiveness.…”
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Design and implementation of a campus network architecture based on load-balanced vBRAS by FU Zhongnan, SHANG Qun, CHEN Junjun, LIU Wending

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A comparison of the sense of place between two urban heritage sites (Oudlajan historic neighborhood, Tehran, and Shah Abol-Ghasem, Yazd) by Arash Mohammad-Moradi, Seyed-Abbas Yazdanfar, Mohammad-Ali Khanmohammadi, Saeid Norouzian-Maleki, Paria Shaheen

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Intragroup and Intergroup Pairwise Key Predistribution for Wireless Sensor Networks by Ching-Nung Yang, Ting-Song Gu, Jhou-Cian You, Chang-Ji Wang

“…Three types of I²KP with respective pros and cons are proposed. Theoretical analysis and numerical simulation demonstrate their effectiveness.…”
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Cultivating Leadership Attributes In Undergraduate Medical Education: A Mixed Method Study by Hareem Fatima, Muhammad Nasir Ayub Khan, Mahwish Niaz, Mahrukh Durrani, Shazia Irum, Muneeza Aamir Sami

“…Descriptive statistics were applied, and numerical variables were described using mean, median and interquartile ranges. …”
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Fusion of Focal Loss’s cyber threat intelligence entity extraction by Yuanbo GUO, Yongfei LI, Qingli CHEN, Chen FANG, Yangyang HU

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Effect of the Outer Pipe on Reducing Direct Coupling of the Thin Borehole Radar Probe in Thick Water-Filled Borehole by Satoshi Ebihara, Raiki Masui, Koki Koyama, Yuki Tsujikawa, Yuto Nishida

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Image recoloring detection based on inter-channel correlation by Nuo CHEN, Shuren QI, Yushu ZHANG, Mingfu XUE, Zhongyun HUA

“…Image recoloring is an emerging editing technique that can change the color style of an image by modifying pixel values.With the rapid proliferation of social networks and image editing techniques, recolored images have seriously hampered the authenticity of the communicated information.However, there are few works specifically designed for image recoloring.Existing recoloring detection methods still have much improvement space in conventional recoloring scenarios and are ineffective in dealing with hand-crafted recolored images.For this purpose, a recolored image detection method based on inter-channel correlation was proposed for conventional recoloring and hand-crafted recoloring scenarios.Based on the phenomenon that there were significant disparities between camera imaging and recolored image generation methods, the hypothesis that recoloring operations might destroy the inter-channel correlation of natural images was proposed.The numerical analysis demonstrated that the inter-channel correlation disparities can be used as an important discriminative metric to distinguish between recolored images and natural images.Based on such new prior knowledge, the proposed method obtained the inter-channel correlation feature set of the image.The feature set was extracted from the channel co-occurrence matrix of the first-order differential residuals of the differential image.In addition, three detection scenarios were assumed based on practical situations, including scenarios with matching and mismatching between training-testing data, and scenario with hand-crafted recoloring.Experimental results show that the proposed method can accurately identify recolored images and outperforms existing methods in all three hypothetical scenarios, achieving state-of-the-art detection accuracy.In addition, the proposed method is less dependent on the amount of training data and can achieve fairly accurate prediction results with limited training data.…”
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Automatic Speech Recognition: A survey of deep learning techniques and approaches by Harsh Ahlawat, Naveen Aggarwal, Deepti Gupta

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Designing multivalent NiMn-based layered nanosheets with high specific surface area and abundant active sites for solid-state hydrogen storage in magnesium hydride by Tao Zhong, Tian Xu, Liuting Zhang, Fuying Wu, Yiqun Jiang, Xuebin Yu

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