Optimization of cargo distribution for high-speed freight trains to overcome strong wind conditions by Duo Zhang, Fang-Ru Zhou, Wai Kei Ao, Zhan-Hao Guo, Zheng-Wei Chen

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A New Conjugate Gradient Method for Finding the Minimum of Non Linear Functions by Abbas Al-Bayati, Basim Hassan

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Software Defect Prediction Using Extreme Gradient Boosting(XGBoost) with Tune Hyperparameter by Tariq AL-Hadidi, Safwan Omar Hasoon

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Encoding Genetic and Structural Information in DNA Using Electric Field Gradients and Nuclear Spins by Yu Zheng, Quansheng Ren

“…Nuclear electric resonance (NER) offers a method of controlling nuclear spins using electric field gradients (EFGs), which is a critical concept in quantum computing. …”
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Singularities in Computational Optics by S. Deepa, Kedar Khare, Senthilkumaran Paramasivam

“…Phase singularities in optical fields are associated with a non-vanishing curl component of phase gradients. Huygen’s diverging spherical wavefronts that primary/secondary point sources emit, during propagation, a have zero curl component. …”
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Some descent Dai-Liao-type conjugate gradient methods for vector optimization by Jamilu Yahaya, Poom Kumam, Abdulmalik Usman Bello

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Adaptive gradient scaling: integrating Adam and landscape modification for protein structure prediction by Vitalii Kapitan, Michael Choi

“…These results demonstrate that integrating landscape-aware gradient scaling into first-order optimizers advances research in computational optimization and improves prediction performance for complex problems such as protein folding.…”
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A Scalable and Consistent Method for Multi-Component Gravity-Gradient Data Processing by Larissa Silva Piauilino, Vanderlei Coelho Oliveira Junior, Valeria Cristina Ferreira Barbosa

“…Applications to synthetic and real datasets show that our method offers a computationally efficient alternative for processing large gravity-gradient data from various acquisition systems (AGG and FTG), even when data are irregularly spaced or flight lines are misaligned. …”
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Multi-spectral remote sensing image fusion method based on gradient moment matching by Haiying Fan, Gonghuai Wei

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Dynamic Maternal Gradients Control Timing and Shift-Rates for Drosophila Gap Gene Expression. by Berta Verd, Anton Crombach, Johannes Jaeger

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A modified three-term conjugate gradient method for large –scale optimization by Zaydan B. Mohammed, Nazar K. Hussein, Zeyad M. Abdullah

“… We propose a three-term conjugate gradient method in this paper . The basic idea is to exploit the good properties of the BFGS update. …”
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Effects of Vertical Temperature Gradient on Heavy Gas Dispersion in Build up Area

“…The results showed that the wind inlet correction, as well as the temperature gradient, had a significant influence on gas concentration records.…”
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Self-Generated Chemoattractant Gradients: Attractant Depletion Extends the Range and Robustness of Chemotaxis. by Luke Tweedy, David A Knecht, Gillian M Mackay, Robert H Insall

“…Chemotaxis is fundamentally important, but the sources of gradients in vivo are rarely well understood. Here, we analyse self-generated chemotaxis, in which cells respond to gradients they have made themselves by breaking down globally available attractants, using both computational simulations and experiments. …”
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Investigating the contributors to hit-and-run crashes using gradient boosting decision trees. by Baorui Han, Haibo Huang, Gen Li, Chenming Jiang, Zhen Yang, Zhenjun Zhu

“…A classification prediction model is established based on a nonlinear method-Gradient Boosting Decision Tree (GBDT) to investigate the factors contributing to a perpetrator's escape behavior in hit-and-run crashes. …”
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An efficient hybrid conjugate gradient method for unconstrained optimization and image restoration problems by C. Souli, R. Ziadi, I. Lakhdari, A. Leulmi

“…The conjugate gradient (CG) method is an optimization technique known for its rapid convergence; it has blossomed into significant developments and applications. …”
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Effect of parameters on thermal stress in transpiration cooling of leading-edge with layered gradient by Chen Weijie, Wang Yongqing, An Bo, Zhang Qin, Su Huijuan, Wang Ke

“…In this study, a transpiration cooling of leading-edge with layered gradient (TCS-LG3) is proposed to improve the uniform temperature distribution and high thermal stress. …”
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Efficient Positive Semidefinite Matrix Approximation by Iterative Optimisations and Gradient Descent Method by Vali Asimit, Runshi Wang, Feng Zhou, Rui Zhu

“…Examples of applications in finance, as well as in the machine learning field, are given. Computational results are presented followed by discussion on future improvements.…”
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VCMA Gradient-Driven Skyrmion on a Trapezoidal Nanotrack for Racetrack Memory Application by Bikash Sharma, Pema Rinzing Bhutia, Ravish Kumar Raj, Bibek Chettri, Brajesh Kumar Kaushik, Sonal Shreya

“…In this work, the computational demonstration of a skyrmion controlled by a voltage controlled magnetic anisotropy (VCMA) gradient on a trapezoidal nanotrack is studied for the application of racetrack memory. …”
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Enhancement of Background Subtraction Techniques Using a Second Derivative in Gradient Direction Filter by Farah Yasmin Abdul Rahman, Aini Hussain, Wan Mimi Diyana Wan Zaki, Halimah Badioze Zaman, Nooritawati Md Tahir

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Stochastic gradient descent algorithm preserving differential privacy in MapReduce framework by Yihan YU, Yu FU, Xiaoping WU

“…Aiming at the contradiction between the efficiency and privacy of stochastic gradient descent algorithm in distributed computing environment,a stochastic gradient descent algorithm preserving differential privacy based on MapReduce was proposed.Based on the computing framework of MapReduce,the data were allocated randomly to each Map node and the Map tasks were started independently to execute the stochastic gradient descent algorithm.The Reduce tasks were appointed to update the model when the sub-target update models were meeting the update requirements,and to add Laplace random noise to achieve differential privacy protection.Based on the combinatorial features of differential privacy,the results of the algorithm is proved to be able to fulfill ε-differentially private.The experimental results show that the algorithm has obvious efficiency advantage and good data availability.…”
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