Design and Testing of Electric Drive System for Maize Precision Seeder by Lin Ling, Yuejin Xiao, Xinguang Huang, Guangwei Wu, Liwei Li, Bingxin Yan, Duanyang Geng

“…Full-factorial bench and field tests based on seed spacing (0.1, 0.2, and 0.3 m) and operating speed (3, 6, 9, 12, and 15 km/h) were carried out to evaluate the performance of the EDS. …”
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No reliable gray matter alterations in idiopathic dystonia by Zhen-Yu Wang, Fei Chen, Hai-Hua Sun, Hua-Liang Li, Jian-Bin Hu, Zhen-Yu Dai, Shu Wang

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SCH-Hunter: A Taint-Based Hybrid Fuzzing Framework for Smart Contract Honeypots by Haoyu Zhang, Baotong Wang, Wenhao Fu, Leyi Shi

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Maximizing influence via link prediction in evolving networks by Kexin Zhang, Mo Li, Shuang Teng, Lingling Li, Yi Wang, Xuezhuan Zhao, Jinhong Di, Ji Zhang

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Using single-sample networks and genetic algorithms to identify radiation-responsive genes in rice affected by heavy ions of the galactic cosmic radiation with different LET values by Yan Zhang, Wei Wang, Meng Zhang, Binquan Zhang, Shuai Gao, Meng Hao, Dazhuang Zhou, Lei Zhao, Guenther Reitz, Guenther Reitz, Yeqing Sun

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Machine learning models for predicting morphological traits and optimizing genotype and planting date in roselle (Hibiscus Sabdariffa L.) by Fazilat Fakhrzad, Warqaa Muhammed ShariffAl-Sheikh, Mohammed M. Mohammed, Heidar Meftahizadeh

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Attention-based hybrid deep learning model with CSFOA optimization and G-TverskyUNet3+ for Arabic sign language recognition by Ahmed A. Mohamed, Abdullah Al-Saleh, Sunil Kumar Sharma, Ghanshyam Tejani

“…In addition, employing a novel metaheuristic algorithm, the Crisscross Seed Forest Optimization Algorithm, which combines the Crisscross Optimization and Forest Optimization algorithms to determine the best features from the extracted texture, color, and deep learning features. …”
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Restoring Anomalous Water Surface in DOM Product of UAV Remote Sensing Using Local Image Replacement by Chunjie Wang, Ti Zhang, Liang Tao, Jiayuan Lin

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Impact of metal oxides on thermal response of zirconia coated diesel engines fueled by Momordica biodiesel machine learning insights by V. S. Shaisundaram, P. V. Elumalai, S. Padmanabhan, U. Nalini Ramachandran, Abhishek Kumar Tripathi, Cui Yaping, B. Nagaraj Goud, S. Prabhakar

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Deep Point Cloud Facet Segmentation and Applications in Downsampling and Crop Organ Extraction by Yixuan Wang, Chuang Huang, Dawei Li

“…Second, to solve the insufficient precision in organ segmentation within crop point clouds, a facet growth-based segmentation algorithm is designed. The network first predicts the edge scores for the facets to determine the seed facets. …”
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Adaptação da função dielétrica {épsilon"/[épsilon'(a f épsilon' - épsilon"]} para determinação do teor de água em sementes de feijão por radiofreqüências Adjustment of the microwav... by Pedro A. Berbert, Daniel M. de Queiroz, Elias F. de Sousa, Edenio Detmann, Alexandre P. Viana, Rafael G. Dionello

“…Measurement of dielectric parameters was performed using samples varying in moisture content from 11.5 to 20.6% w.b., and bulk densities in the range from 756 e 854 kg m-3. The adaptation to radiofrequencies of a microwave dielectric model derived from the density independent function zeta produced a model capable of estimating the moisture content (w.b.) of common bean seeds with a standard error of estimate and maximum error of 0.6 and 1.4 percentage points.…”
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MDM-TDM PON Utilizing Self-Coherent Detection-Based OLT and RSOA-Based ONU for High Power Budget by Yuanxiang Chen, Juhao Li, Peng Zhou, Paikun Zhu, Yu Tian, Zhongying Wu, Jinglong Zhu, Ke Liu, Dawei Ge, Jingbiao Chen, Yongqi He, Zhangyuan Chen

“…Due to the high gain of RSOA and high receiver sensitivity of self-coherent detection, a 30-dB bidirectional power budget is achieved after 10-km few-mode fiber and a 20-km standard single-mode fiber at the bit error rate (BER) of 10^−3. Optimal seed power and signal power that input to the RSOA are investigated in this paper.…”
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Satellite Image Classification Using a Hybrid Manta Ray Foraging Optimization Neural Network by Amit Kumar Rai, Nirupama Mandal, Krishna Kant Singh, Ivan Izonin

“…The trained network can discover hidden data patterns in unseen data. The learning algorithm and seed selection play a vital role in the performance of the network. …”
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Batch generated strongly nonlinear S-Boxes using enhanced quadratic maps by Mohammad Mazyad Hazzazi, Farooq E Azam, Rashad Ali, Muhammad Kamran Jamil, Sameer Abdullah Nooh, Fahad Alblehai

“…According to the cryptanalysis result of the S-box construction in AES: (1) the number of irreducible polynomials can be increased to 30; (2) the affinity transformation constant c can be chosen from all elements if the existence of fixed points and reverse fixed points in an S-box is ignored; and (3) the S-box in AES is fixed, which poses possible security risks to the AES algorithm. …”
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Improved YOLOv8 Model for Phenotype Detection of Horticultural Seedling Growth Based on Digital Cousin by Yuhao Song, Lin Yang, Shuo Li, Xin Yang, Chi Ma, Yuan Huang, Aamir Hussain

“…Moreover, a case study of watermelon seedings is examined, and the results of the 3D reconstruction of the seedlings show that our model outperforms classical segmentation algorithms on the main metrics, achieving a 91.0% mAP50 (B) and a 91.3% mAP50 (M).…”
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Machine Learning Ensemble Classifiers for Feature Selection in Rice Cultivars by Chandrakumar Thangavel, D Sakthipriya

“…The variance inflation factor (VIF) of the wrapper feature selection approach with decision tree classification algorithm yields 99.63% accuracy and 4.3% error rate compared to other classification algorithms and wrapper feature selection techniques.…”
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Non-Destructive Detection of Current Internal Disorders and Prediction of Future Appearance in Mango Fruit Using Portable Vis-NIR Spectroscopy by Jasciane da Silva Alves, Bruna Parente de Carvalho Pires, Luana Ferreira dos Santos, Tiffany da Silva Ribeiro, Kerry Brian Walsh, Ederson Akio Kido, Sergio Tonetto de Freitas

“…Five models were evaluated: two tree-based algorithms (J48 and random forest), one neural network (multilayer perceptron, MLP), and two SVM training algorithms (sequential minimal optimization, SMO, and LibSVM). …”
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Targeted Influential Nodes Selection in Location-Aware Social Networks by Susu Yang, Hui Li, Zhongyuan Jiang

“…Experimental study over three real-world social networks verified the seed quality of our framework, and the coarsening-based algorithm can provide superior efficiency.…”
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An IPv6 target generation approach based on address space forest by Shunlong Hao, Liancheng Zhang, Hongtao Zhang, Lanxin Cheng, Yi Guo, Zhanbo Li, Bin Lin, Haojie Zhu, Mingyue Ren, Lanyun Zhang

“…Due to the uneven distribution of IPv6 seed addresses and irreversibility of clustering in existing IPv6 target generation algorithms, the number of low-dimensional patterns in single-tree algorithms like 6Scan and 6Tree, or dual-tree algorithms like HMap6, is limited. …”
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Gradient-based optimization for parameter identification of lithium-ion battery model for electric vehicles by Motab Turki Almousa, Mohamed R. Gomaa, Mostafa Ghasemi, Mohamed Louzazni

“…The findings were contrasted to those from various algorithms, such as whale optimization algorithm, multi-verse optimizer, sine cosine algorithm, arithmetic optimization algorithm, particle swarm optimization, red kite optimization algorithm, tree-seed algorithm, and white shark optimizer. …”
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