Fruit size prediction of tomato cultivars using machine learning algorithms by Masaaki Takahashi, Yasushi Kawasaki, Hiroki Naito, Hiroki Naito, Unseok Lee, Koichi Yoshi

“…We aimed to develop a method for early prediction of tomato fruit size at harvest with machine learning algorithm, and three machine learning models (Ridge Regression, Extra Tree Regrreion, CatBoost Regression) were compared using the PyCaret package for Python. …”
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Receiver Diversity Combining Using Evolutionary Algorithms in Rayleigh Fading Channel by Mohsen Akbari, Mohsen Riahi Manesh, Ayman A. El-Saleh, Ahmed Wasif Reza

“…In this paper, an imperialistic competitive algorithm (ICA) is proposed and compared with two other evolutionary based algorithms, namely, particle swarm optimization (PSO) and genetic algorithm (GA), for diversity combining of signals travelling across the imperfect channels. …”
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APPLICATION OF ARTIFICIAL INTELLEGENCE ALGORITHMS TO CONTROL THE USE OF FLOOD-PRONE AREAS by Konstantin A. Kurganovich, Andrey V. Shalikovskiy, Maksim A. Bosov, Denis V. Kochev

“…The analysis of satellite images, being a laborious task, can be automated through the use of specially trained convolutional neural networks of semantic segmentation based on the algorithm proposed in this article. In this work, on the previously identified flooding zones, using remote sensing data, development objects are automatically determined (segmented) for different times and, by combining information at different times, an assessment of the intensity of this construction in the inter-flood period is made. …”

Analysis of constant modulus blind equalization algorithms base on "data reuse" by XU Hua1, ZHENG Hui2, ZHANG Dong-mei3

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STUDY ON NEUTRON – GAMMA PULSE SHAPE DISCRIMINATION ALGORITHMS FOR SCINTILLATION DETECTOR by Phan Văn Chuân, Nguyễn Đức Hòa, Nguyễn Đắc Châu, Vương Nữ Minh Khuê

“…The four neutron - gamma pulsed shape discrimination algorithms for the model NE213 scintillation detector by using digital signal processing were developed. …”
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High accuracy channel estimation algorithms for multi-cell joint detection by SONG Xiao-qin1, HU Ai-qun1, LI Ke2, XUE Qiang2

“…The conventional channel estimation algorithm used in the current TD-SCDMA system can not be expanded to multi-cell joint detection for its low channel estimation accuracy for adjacent cells. …”
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Optimization of Depth Map Intra Coding Algorithms Based on Machine Learning by Wenjun Song, Jiaying Yang, Qiuwen Zhang

“…Building on existing research, this study aims to develop a 3D video coding algorithm based on VVC that lowers the complexity of the encoding procedure. …”
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Quantum algorithms for attacking hardness assumptions in classical and post‐quantum cryptography by J.‐F. Biasse, X. Bonnetain, E. Kirshanova, A. Schrottenloher, F. Song

“…Abstract In this survey, the authors review the main quantum algorithms for solving the computational problems that serve as hardness assumptions for cryptosystem. …”
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FDK-Type Algorithms with No Backprojection Weight for Circular and Helical Scan CT by A. V. Narasimhadhan, Kasi Rajgopal

“…The efficient algorithms are compared with the FDK algorithm, Hu's algorithm, T-FDK, and Zhu et al.'…”
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Assessment Method of Multipath Mitigation Performance for GNSS Antenna with Receiver Algorithms by Muzi Yuan, Du Li, Baiyu Li, Huaming Chen, Gang Ou

“…The model analyzes effects caused by inclined reflective surfaces and multipath mitigating algorithms in receivers. A method to assess multipath mitigation performance is put forward by analyzing pseudorange code phase errors caused by multipath signals after signal processing. …”
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Research on algorithms of data encryption scheme that supports homomorphic arithmetical operations by ANGPan Y, UIXiao-lin G, AOJing Y, INJian-cai L, IANFeng T, HANGXue-jun Z

“…An efficient homomorphic encryption scheme called CESIL was proposed to meet the requirements of operating on encrypted data when protecting users' privacy in computing services.CESIL included key generation algorithm,encryption algorithm,decryption algorithm and calculation algorithm.In CESIL,a polynomial coefficient vector ring was established by defining addition and multiplication using polynomial ring; by using ideal lattice,the vector ring was partitioned into many residue classes to produce a quotient ring and its representative set; the plaintext was encrypted by mapping it to a representative and replacing the representative with another element in the same residue class.The features of operations in quotient ring ensured CESIL operate on encrypted data.Furthermore,the fast Fourier transform (FFT) algorithm was used to increase the efficiency and decrease the length of key.Theoretical analysis and experimental results show that CESIL is semantically secure,and can do addition and multiplication operations on encrypted data homomorphically in a specific scope.Comparing to some existing homomorphic encryption schemes,the CESIL runs efficiently,and has shorter length in key and ciphertext.Thus,the CESIL fits the practical applications better.…”
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Biobjective Optimization Algorithms Using Neumann Series Expansion for Engineering Design by Huan Guo, Yoshino Tatsuo, Lulu Fan, Ao Ding, Tianshuang Xu, Genyuan Xing

“…In this paper, two novel algorithms are designed for solving biobjective optimization engineering problems. …”
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Optimal Scheduling for Retrieval Jobs in Double-Deep AS/RS by Evolutionary Algorithms by Kuo-Yang Wu, Sendren Sheng-Dong Xu, Tzong-Chen Wu

“…Three types of evolutionary algorithms, the Genetic Algorithm (GA), the Immune Genetic Algorithm (IGA), and the Particle Swarm Optimization (PSO) algorithm, are implemented to obtain the optimal assignments. …”
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Efficient Algorithms for Optimal 4-Bit Reversible Logic System Synthesis by Zhiqiang Li, Hanwu Chen, Guowu Yang, Wenjie Liu

“…We mainly absorb the ideas of our 3-bit synthesis algorithms based on hash table and present the efficient algorithms which can construct almost all optimal 4-bit reversible logic circuits with many types of gates and at mini-length cost based on constructing the shortest coding and the specific topological compression; thus, the lossless compression ratio of the space of n-bit circuits reaches near 2×n!. …”
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Inexact Exponential Penalty Function with the Augmented Lagrangian for Multiobjective Optimization Algorithms by Appolinaire Tougma, Kounhinir Some

“…This paper uses an augmented Lagrangian method based on an inexact exponential penalty function to solve constrained multiobjective optimization problems. Two algorithms have been proposed in this study. The first algorithm uses a projected gradient, while the second uses the steepest descent method. …”
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A Complication of Negative Resistance Circuits Generated by Two Novel Algorithms by Umesh Kumar

“…There are two algorithms to generate a negative-resistance device which exhibits either a type-N shaped V-1 characteristic similar to a tunnel diode, or a type-S shaped V-1 characteristic similar to a four layered pnpn diode. …”
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Variational Quantum Algorithms for the Allocation of Resources in a Cloud/Edge Architecture by Carlo Mastroianni, Francesco Plastina, Jacopo Settino, Andrea Vinci

“…In this article, we explore the possibility of solving this problem with variational quantum algorithms, which can become a viable alternative to classical algorithms in the near future. …”
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Implementation of Haar Cascade and Adaboost Algorithms in Photo Classification on Social Networks by Rezty Amalia Aras, Hutami Endang

“…Results: Two of her classification algorithms, Haar Cascade and Adaboost, were used in this study. …”
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Short-Term Prediction of Electronic Transformer Error Based on Intelligent Algorithms by Yuanyu Ye, Aichao Yang, Yu Wu, Chen Hu, Min Li, Yan Li, Xiaosong Deng

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Algorithms for the Shortest Path Improvement Problems under Unit Hamming Distance by Bingwu Zhang, Xiucui Guan, Chunyuan He, Shuguo Wang

“…Some strongly polynomial time algorithms are designed for the problems on some special arborescent networks. …”
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