Network Efficient Hierarchical Authentication Algorithm for Secure Communication in IoT and IoE by Abhiram Sharma, R. Suganya, P. B. Krishna, Rudra Raj, Raja Kumar Murugesan

“…Adding to that is the advanced block reordering techniques and circular right shift operations further enhance security while minimizing computational overhead, making the proposed algorithm ideal for resource-constrained IoT environments. …”
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Pengembangan Jadwal Shift Staf Editor Video pada Stasiun Televisi Nasional Trans7 berbasis Android menggunakan Algoritma Ant Colony dengan Firebase by Rizal Rizal, Eliyani Eliyani

“…Data masukan yang digunakan dalam penelitian ini adalah nama editor dan ruangan, serta luaran berupa jadwal per shift untuk setiap ruangan untuk suatu periode tertentu. …”
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Research on kd-tree Cache Optimization Based on Particle Index Sorting Algorithm by 张挺, 林震寰, 杨丁颖, 王宗锴, 陈轶凡

“…The algorithm is versatile enough to handle both static and dynamic conditions, making it highly reliable for real-time applications where particle distributions tend to change unpredictably. …”
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Border following–based reversible watermarking algorithm for images with resistance to histogram overflowing by Xin Tang, Linna Zhou, Dan Liu, Weijie Shan, Yi Zhang

“…The performance of the proposed algorithm is evaluated using classic image datasets in this area, and the results not only validate the effectiveness of the proposed algorithm but also indicate its advantages compared with the classic histogram shifting–based reversible watermarking algorithm as well as the state of the art.…”
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A Hybrid EV Charging Approach Based on MILP and a Genetic Algorithm by Syed Abdullah Al Nahid, Junjian Qi

“…The proposed method includes (1) a centralized day-ahead optimal scheduling mechanism and EV shifting process based on mixed-integer linear programming (MILP) and (2) a distributed control strategy based on a genetic algorithm (GA) that dynamically adjusts the charging rate in real-time grid scenarios. …”
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Improved machine classification algorithm for electric rail circuits in train warning systems by I. V. Prisukhina, D. V. Borisenko

“…The algorithm is based on a neural network trained with cyclically shifted learning examples. …”
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A New Bootstrap Based Algorithm for Hotelling’s T2 Multivariate Control Chart by A. Mostajeran, N. Iranpanah, R. Noorossana

“…The latter case is obtained when the process mean is subject to sustained shifts. Numerical results indicate that the proposed algorithm performs better than the above mentioned methods. …”
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Unmanned aerial vehicle path planning with hybrid motion algorithm for obstacle avoidance by Venkatasivarambabu Pamarthi, Richa Agrawal

“…To enhance trajectory optimization, the optimized motion planner enhances the Rapidly-exploring Random Tree (RRTX) method with a Covariant Hamiltonian Optimization for Motion Planning (CHOMP) algorithm-based optimizer. Addressing the challenges posed by dynamic environments characterized by abrupt appearance, disappearance, or shifting of constraints, the motion planner adeptly identifies environmental changes and computes collision-free paths during UAV navigation. …”
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Quantitative Phase Imaging During Cell Division Based on Dual-Channel Microscopic Interferometry System by Shengde Liu, Dejin Zheng, Jiaosheng Li, Jindong Tian, Liyun Zhong, Xiaoxu Lu

“…A pair of interferograms with a fixed phase shift of π/2 is simultaneously captured by the DCMI system, and two-step phase demodulation algorithm is employed for phase retrieval. …”
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A Novel Demodulation Algorithm Based on the Spatial-Domain Carrier Frequency Fringes Method by Chenhaolei Han, Yuan Ju, Zongxu Zhao, Yuni He, Zhan Tang

“…In this paper, a novel demodulation algorithm based on spatial-domain carrier frequency shift is proposed to solve the problem. …”
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Research on Rapid and Accurate 3D Reconstruction Algorithms Based on Multi-View Images by Lihong Yang, Hang Ge, Zhiqiang Yang, Jia He, Lei Gong, Wanjun Wang, Yao Li, Liguo Wang, Zhili Chen

“…We employed the Scale-invariant feature transform (SIFT) algorithm to extract feature points from each image, applied the KD-Tree algorithm for inter-image matching, and Enhanced autonomous threshold adjustment by utilizing the Random sample consensus (RANSAC) algorithm to eliminate mismatches, thereby enhancing feature matching accuracy and the number of matched point pairs. …”
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Reconfigurable intelligent surface assist wireless channel estimation algorithm in Internet of vehicles environment by Rong ZENG, Xiao HANG

“…Aiming at the problem that multi-user channel estimation assisted by reconfigurable intelligent surface (RIS) in the uplink Internet of vehicles environment, a location assisted compressive sensing channel estimation algorithm was proposed.Based on the location information of the communication equipment, a single RIS-assisted single-user communication model was built, and the optimal phase shift matrix was derived according to the logical relationship between the beam angle of departure (AOD) and the angle of arrival (AOA).The perception matrix was constructed and channel estimation was performed, and finally it was extended to multi-user scenarios and solved iteratively.The optimal RIS phase shift matrix was solved based on the position information obtained by the Internet of vehicles technology, which reduced the additional training overhead of the channel and further reduces the complexity of the channel estimation.Simulation results show that the proposed algorithm based on location information has high channel estimation performance.…”
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Reconfigurable intelligent surface assist wireless channel estimation algorithm in Internet of vehicles environment by Rong ZENG, Xiao HANG

“…Aiming at the problem that multi-user channel estimation assisted by reconfigurable intelligent surface (RIS) in the uplink Internet of vehicles environment, a location assisted compressive sensing channel estimation algorithm was proposed.Based on the location information of the communication equipment, a single RIS-assisted single-user communication model was built, and the optimal phase shift matrix was derived according to the logical relationship between the beam angle of departure (AOD) and the angle of arrival (AOA).The perception matrix was constructed and channel estimation was performed, and finally it was extended to multi-user scenarios and solved iteratively.The optimal RIS phase shift matrix was solved based on the position information obtained by the Internet of vehicles technology, which reduced the additional training overhead of the channel and further reduces the complexity of the channel estimation.Simulation results show that the proposed algorithm based on location information has high channel estimation performance.…”
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Driving Pattern Analysis, Gear Shift Classification, and Fuel Efficiency in Light-Duty Vehicles: A Machine Learning Approach Using GPS and OBD II PID Signals by Juan José Molina-Campoverde, Juan Zurita-Jara, Paúl Molina-Campoverde

“…This study proposes an automatic gear shift classification algorithm in M1 category vehicles using data acquired through the onboard diagnostic system (OBD II) and GPS. …”
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The Algorithmic Leviathan and the Digital Polis: A Review of Global Digital Governance Dilemmas and Pathways by Ge Xin, Yiting Wang

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Non-cooperative signal modulation recognition algorithm based on joint feature parameter extraction by Haifei SI, Xingliu HU, Zhen SHI, Shiyong LI

“…Aiming at the problem that in the current electromagnetic environment,the modulation method is complicated,the frequency-consuming equipment increases,the spectrum is congested,and the electromagnetic environment interference increases,the algorithm of OFDM signal detection and subcarrier identification in the background of non-cooperative communication were deeply studied.Using the different distribution states of OFDM signals and single carrier signals in the time domain,a joint characteristic parameter was proposed to solve the existence problem of OFDM in the received signal.For the phase shift and frequency offset problems caused by the channel transmission to the signal,by using the periodic stability the blind parameter estimation was performed to obtain the signal prior information.On the basis of the obtained signal prior information,a multi-level classification and recognition method for non-cooperative OFDM signal sub-carrier signals was proposed.Therefore,a model based on non-cooperative communication system OFDM signal detection and subcarrier modulation identification was designed,and finally modulation identification of unknown signals was completed.Simulation experiments show that in non-cooperative communication systems,OFDM signals and single-carrier signals can be accurately identified,and ideal modulation recognition effects can be achieved on empty subcarriers,QPSK,and 16QAM in the receiver OFDM signal subcarriers,overcoming the channel transmission band The problems of phase shift and frequency offset have improved the accuracy of modulation mode identification.…”
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High-accuracy parameter estimation algorithm for spread spectrum signal in LEO satellite communication by JIN Lei, ZENG Fuhua, GU Liyan, WANG Yuan

“…But the Doppler effect caused by high-speed satellite and the short TT&C (telemetry, tracking and command) time caused by random service lead to the difficulty of the high-accuracy parameter estimation for spread spectrum signal with large Doppler frequency shift. A high-accuracy parameter estimation algorithm for spread spectrum signal based on interpolated correct pseudo-code phase and carrier frequency was proposed. …”
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Robust Cross-Validation of Predictive Models Used in Credit Default Risk by Jose Vicente Alonso, Lorenzo Escot

“…Model validation is a challenging Machine Learning task, usually more difficult for consumer credit default models because of the availability of small datasets, the modeling of low-frequency events (imbalanced data), and the bias in the explanatory variables induced by the train/test sets split of the validation techniques (covariate shift). While many methodologies have been developed, cross-validation is perhaps the most widely accepted, often being part of the model development process by optimizing the hyperparameters of predictive algorithms. …”
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IUmote: A Framework for the Efficient Modelling, Evaluation, and Deployment of Algorithms and Hardware for Underwater Communications by Antonio Sanchez, Angel Perles, Pedro Yuste, Juan V. Capella, Juan Jose Serrano

“…As a case study, this paper shows its application and results in the evaluation of a multipath and Doppler-shift correction algorithms.…”
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Method for determining of the distance to the object in the hyperbolic navigation system via doppler frequency offsets by V. V. Legkostup, V. E. Markevich

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