Face Detection and Recognition using Color Segmentation,Template Matching and Gabor Neural Network with Fuzzy System by Mays Kareem Jabbar, Maab Alaa Hussain, Thaar A. Kareem

“…While implementing the proposed algorithm, a tradeoff between accuracy and computational complexity of the algorithm are made, because the face recognition system is implemented on a device with limited hardware capabilities …”
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Radar High-Resolution Range Profile Target Recognition by the Dual Parallel Sequence Network Model by Jizhou Wu, Hongmin Zhang, Xuanhao Gao

“…Using traditional neural network algorithms to adapt to high-resolution range profile (HRRP) target recognition is a complex problem in the current radar target recognition field. …”
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Indoor Wi-Fi fingerprint localization method based on CSI tensor decomposition by Mu ZHOU, Yuexin LONG, Qiaolin PU, Yong WANG, Wei HE

“…Aiming at the problem that as the scale of the fingerprint database increases, the training cost and processing complexity of CSI fingerprints will also greatly increase, an indoor Wi-Fi fingerprint localization method based on CSI tensor decomposition was proposed.Firstly, the tensor decomposition algorithm based on the PARAFAC (parallel factor) analysis model and the ALS (alternate least squares) iterative algorithm were combined to reduce the interference of the environment.Then, the tensor wavelet decomposition algorithm was used to extract the feature and obtain the CSI fingerprint.Finally, a localization model was established based on the PLSR (partial least squares regression) algorithm to realize the location estimation.Experimental results show that the confidence probability of the proposed method is 94.88% within 4 m localization error, which verifies that the proposed method has good localization performance while fitting the relationship between CSI location fingerprints and location coordinates.…”
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Sinusoidal Neural Networks: Towards ANN that Learns Faster by Tekin Evrim Ozmermer

“…According to the experiments, the proposed neural network can reach high accuracy rates faster than the standard neural networks, while an interesting generalization capacity is obtained for the developed algorithm. …”
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Antistray, Learning Smart: Creating Indoor Positioning Learning Environment for Augmenting Self-Regulated Learning by Tien-Chi Huang

“…Furthermore, to passively avoid students being lost while they were learning in a real environment and to actively channel students into ideal learning topic, this study proposes an indoor positioning algorithm which is able to calculate the current position of the learner and further enables learners to find out where he/she is and which learning subjects he/she will learn. …”
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Optimizing Spatial Complexity of the Hard Decision Decoder Based on Hash and Syndrome Decoding (HSDec) by Seddiq El Kasmi Alaoui, Tarik Chanyour, Hamza Faham, Said Nouh

“…In this article, we aim to reduce the spatial complexity of the HSDec decoding algorithm while preserving its error correction capabilities. …”
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Wide Parallax Image Stitching With Balanced Alignment-Naturalness by Tao Song, Qian Li, Peiguo Hou, Ning Li, Wenhao Liu, Zeheng Xia

“…Achieving precise alignment while maintaining natural visual aesthetics is a challenging task. …”
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Cross-Layer Scheduling and Resource Allocation for Heterogeneous Traffic in 3G LTE by Richard Musabe, Hadi Larijani

“…Using simulations, our proposed algorithm improved the performance of real-time traffic based on throughput, VoIP delay, and VoIP packet loss ratio metrics while PF improved the performance of best-effort traffic based on FTP traffic received, FTP packet loss ratio, and FTP throughput metrics.…”
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Dynamically optimal models of atmospheric motion by A. G. Voronovich

“…</p></li><li> <p id="d2e91">The spatial resolution can be adjusted locally while executing calculations.</p></li><li> <p id="d2e95">By using a set of tetrahedra as finite elements the algorithm ensures a better representation of the topography (piecewise linear rather than staircase).…”
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Robust Resilient Adaptive Control of Aero-engine Based on Parametric Perturbation Model by MA Jing, CAO Du, MA Lili

“…In complex operating environments, both model uncertainty and controller parameter variation exist simultaneously, which greatly affect the control performance in the whole flight envelope. Therefore, a robust elastic adaptive control method based on parameter perturbation model is proposed in this paper. …”
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Transforming Area Coverage to Target Coverage to Maintain Coverage and Connectivity for Wireless Sensor Networks by Xiu Deng, Jiguo Yu, Dongxiao Yu, Congcong Chen

“…It aims at selecting a minimum number of sensor nodes to cover the whole sensing region and maximizing the lifetime of the network. …”
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Design and Performance Characterization of the E-Core Outer-Rotor Hybrid-Excitation Flux Switching Machine by Zhiyuan Xu, Ming Cheng

“…On this basis, the aforementioned four performances were optimized by means of the non-dominated sorting genetic algorithm II (NSGA-II). Based on the optimization result, a prototype was manufactured and tested to verify the whole investigation of this paper.…”
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Research on Dynamic Storage Location Assignment of Picker-to-Parts Picking Systems under Traversing Routing Method by Xiangbin Xu, Chenhao Ren

“…Then, the adjustment gain model of dynamic storage location assignment is built, and a genetic algorithm is designed to find the final adjustment solution. …”
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Optimization mechanism of attack and defense strategy in honeypot game with evidence for deception by Lihua SONG, Yangyang JIANG, Changyou XING, Guomin ZHANG

“…Using game theory to optimize honeypot behavior is an important method in improving defender’s trapping ability.Existing work tends to use over simplified action spaces and consider isolated game stages.A game model named HoneyED with expanded action spaces and covering comprehensively the whole interaction process between a honeypot and its adversary was proposed.The model was focused on the change in the attacker’s beliefs about its opponent’s real identity.A pure-strategy-equilibrium involving belief was established for the model by theoretical analysis.Then, based on the idea of deep counterfactual regret minimization (Deep-CFR), an optimization algorithm was designed to find an approximate hybrid-strategy-equilibrium.Agents for both sides following hybrid strategies from the approximate equilibrium were obtained.Theoretical and experimental results show that the attacker should quit the game when its belief reaches a certain threshold for maximizing its payoff.But the defender’s strategy is able to maximize the honeypot’s profit by reducing the attacker’s belief to extend its stay as long as possible and by selecting the most suitable response to attackers with different deception recognition abilities.…”
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Research on knowledge concept extraction method based on few-shot learning and chain-of-thought prompting by SHE Linlin, XIONG Longyang, LU Xuesong

“…Experimental results on multiple datasets demonstrate that the few-shot learning and chain-of-thought prompting for knowledge concept extraction method, onthe whole, has shown results superior over existing methods.…”
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An Efficient Data Evacuation Strategy for Sensor Networks in Postdisaster Applications by Ming Liu, Bang Liu, Yonggang Wen

“…Numerical investigations reveal the effectiveness of our proposed DE algorithm.…”
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Voiceless Stop Consonant Modelling and Synthesis Framework Based on Miso Dynamic System by Gražina KORVEL, Bożena KOSTEK

“…A new limit point searching three-step algorithm is given in this paper. Within this framework, the input of the low - frequency component is equal to one, and the impulse response generates the whole component. …”
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Solving the Multiobjective Transportation Decision-Making Problem Based on Improved S-Type Membership Function by Xiang Ziquan, Yang Jiaqi, Muhammad Hamza Naseem, Xiang Zuquan

“…This method not only considers a single objective and evaluates it marginally but also evaluates the overall objective as a whole. First of all, a multiobjective transportation decision-making model is established. …”
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Optimizing the lifetime of wireless sensor networks via reinforcement-learning-based routing by Wenjing Guo, Cairong Yan, Ting Lu

“…Reinforcement-learning-based routing protocol takes advantage of the intelligent algorithm of reinforcement learning to search for the optimal routing path for data transmission. …”
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QUALITATIVE MODELING OF ECOLOGICAL TOURISM DEVELOPMENT IN ThE ALTAI REPUBLIC by D. S. Khazova

“…The qualitative modeling algorithm has an independent scientific and practical value and can be used for high-quality modeling of various systems of regional economy, including modeling of the tourist sector.…”
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