Towards a Generalized Tidal Turbine Wake Analytical Model for Turbine Placement in Array Accounting for Added Turbulence by Kabir Bashir Shariff, Sylvain S. Guillou

“…The influence of added turbulence is factored into the evaluation of the velocity deficit within the farm. …”
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Enhanced NSGA-II algorithm based on novel hybrid crossover operator to optimise water supply and ecology of Fenhe reservoir operation by Qinglai Xiong, Ling Dong, Hu Chen, Xueping Zhu, Xuehua Zhao, Xuerui Gao

“…The convergence of the bi-objective Pareto solution set is evaluated based on the generation and inverted generational distances. …”
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PictureGuard: Enhancing Software-Defined Networking–Internet of Things Security with Novel Image-Based Authentication and Artificial Intelligence-Powered Two-Stage Intrusion Detect... by Hazem (Moh’d Said) Hatamleh, As’ad Mahmoud As’ad Alnaser, Said S. Saloum, Ahmed Sharadqeh, Jawdat S. Alkasassbeh

“…Further, multi-controllers were placed optimally using fox optimization algorithm. The generated global paths were securely stored in the virtual blockchain Finally, the two agents in the multi-controllers were responsible for validating and classifying the incoming suspicious flow packets into normal and malicious packets by considering the operative metrics using the Dueling Deep Q Network (DDQN) algorithm. …”
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Differential effects of sole and phosphorus based nitrogen fertilizer sources on wheat growth and nutrient use efficiency by Hafiza Maria Asghar Alvi, Wazir Ahmed, Muhammad Yaseen, Subhan Danish, Nawaf Alshamamri, Safia Obaidur Rab, Rahul Datta

“…This study contributes to improving nitrogen management strategies for wheat in calcareous soils by evaluating different nitrate and ammonium ratios, offering insights for enhancing nitrogen use efficiency and yield optimization. …”
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Automated quantification of T1 and T2 relaxation times in liver mpMRI using deep learning: a sequence-adaptive approach by Lukas Zbinden, Samuel Erb, Damiano Catucci, Lars Doorenbos, Leona Hulbert, Annalisa Berzigotti, Michael Brönimann, Lukas Ebner, Andreas Christe, Verena Carola Obmann, Raphael Sznitman, Adrian Thomas Huber

“…Abstract Objectives To evaluate a deep learning sequence-adaptive liver multiparametric MRI (mpMRI) assessment with validation in different populations using total and segmental T1 and T2 relaxation time maps. …”
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Integrated transportation system planning with gravitational search algorithm approach based on fuzzy mutant controller by Alireza Hosseinzadeh Kashani, Seyed Ahmad Shayannia, Mohammad Mehdi Movahedi, Soheila Sardar

“…Based on the formula, this force is equal to the difference between the value of the evaluation function of the candidate response and the current response divided by the radius of the neighborhood to the square of two. …”
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KAN-Based Tool Wear Modeling with Adaptive Complexity and Symbolic Interpretability in CNC Turning Processes by Zhongyuan Che, Chong Peng, Jikun Wang, Rui Zhang, Chi Wang, Xinyu Sun

“…To evaluate the performance of KANs, this research systematically compares prediction errors, topological evolutions, and mathematical interpretations of derived symbolic formulas. …”
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Leveraging Artificial Intelligence for Personalized Rehabilitation Programs for Head and Neck Surgery Patients by Gianluca Marcaccini, Ishith Seth, Jennifer Novo, Vicki McClure, Brett Sacks, Kaiyang Lim, Sally Kiu-Huen Ng, Roberto Cuomo, Warren M. Rozen

“…This study evaluates the feasibility of using LLMs to generate tailored rehabilitation programs for patients undergoing major head and neck surgical procedures. …”
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Leveraging multimodal large language model for multimodal sequential recommendation by Zhaoliang Wang, Baisong Liu, Weiming Huang, Tingting Hao, Huiqian Zhou, Yuxin Guo

“…Secondly, the temporal-aware user behavior comprehension module is designed to comprehensively capture the dynamic evolution law of user preference. Finally, by jointly modeling dynamic user preferences, user profiles, and multimodal information of target item, the supervised fine-tuning is combined with multistep Chain-of-Thought prompting optimization to facilitate effective knowledge transfer from the pre-trained multimodal model to the recommendation task, which effectively alleviates the problem of insufficient utilization of multimodal interaction data in generative recommendation. …”
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Risk-Aware Lane Change and Trajectory Planning for Connected Autonomous Vehicles Based on a Potential Field Model by Tao Wang, Dayi Qu, Kedong Wang, Chuanbao Wei, Aodi Li

“…Subsequently, vehicle motion is decoupled into lateral and longitudinal components within the Frenet coordinate system, with quintic polynomials employed to generate clusters of potential trajectories. To improve computational efficiency, trajectory evaluation metrics are developed based on vehicle dynamics, incorporating factors such as acceleration, jerk, and curvature. …”
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CFTformer: End-to-End Cross-Frame Multi-Object Tracking With Transformer by Abdollah Amirkhani, Seyed Alireza Khoshnevis

“…However, the new transformer attention-based approach to MOT has removed the need for complex post-processing steps, such as graph optimization, allowing for end-to-end query tracking across frames. …”
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From Data to Diagnosis: Enhancing Radiology Reporting With Clinical Features Encoding and Cross-Modal Coherence by Saeed Iqbal, Adnan N. Qureshi, Faheem Khan, Khursheed Aurangzeb, Muhammad Azeem Akbar

“…By utilizing clinical embedding, we channel the learning process of the visual feature attribute, ensuring meaningful associations between the different modalities. We conducted comprehensive evaluations of our model using both natural language generation metrics and clinical efficacy assessments on publicly available IU-Xray datasets. …”
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Double-path multiscale adaptive compressed sensing network for electronic data by Lubin Yu, Yongsheng Huang, Yiqiang Cheng, Qiliang Du, Zhenwei Zhou, Lianfang Tian, Shilie He, Honghui Liu

“…Our experimental evaluation on the P2020 module fault signal dataset and NASA Lithium Battery dataset demonstrates that our scheme attains the lowest percentage root-mean-square difference and the highest signal-to-noise ratio, demonstrating substantial enhancement in reconstruction performance and robustness.…”
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Corporate Real Estate alignment by Monique Arkesteijn

“…In the first and third pilot, alternative CRE portfolios have been generated with an optimization tool (step 5b). Due to the nature of third pilot the brute force approach was used successfully in generating a global optimum (see Table S.1). …”
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Effect of tool angle in nanocutting of single crystal GaN using diamond cutter by Yongqiang WANG, Hao XIA, Zhihang HU, Shuaiyang ZHANG, Shaohui YIN

“…The primary objective is to establish clear relationships between tool angles, material removal mechanisms, defect generation (dislocations, phase transformation, amorphization), and final surface integrity, thereby providing foundational knowledge for optimizing ultra-precision machining processes. …”
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Outcrop-Scale Hydraulic Fracturing Experiments with a Coagulable Resin and Data Analysis Results by Tsutau Takeuchi, Akira Fujimoto, Ryohei Inoue, Tsuyoshi Ishida, Takashi Danjo, Tatsuya Yokoyama, Hirokazu Fujii

“…However, evaluating fracture shapes involves technical uncertainties. …”
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Recent advances in ultra-precision machining of lithium niobate crystals by Yebing TIAN, Chengwei WEI, Xiaomei SONG, Cheng QIAN

“…The stability and reliability of optoelectronic devices are significantly influenced by the generation and evolution of surface and subsurface damages. …”
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Mathematical modeling of Ethiopia's energy demand by sectors and energy types, with forecasts for the next 30 years by Arkbom Hailu Asfaw, Geremew Teklu, Antigen Birhan, Yiheyis Eshetu, Ebisa Regasa, Tinsae Wondimu

“…Based on the generated mathematical model and different GDP growth rate scenario as low, medium, business as usual (BAU) and high a future energy demand was forecasted up to 2052 for thirty years. …”
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A Method of Plan and Design for Integrated Energy System of Industrial Park by GAO Shoucong, LIU Lu, ZANG Xiaodi

“…An optimization strategy with the lowest economic operation cost as the single objective was used to construct the single objective scheduling optimization model of integrated energy system, and a plan and design software was applied. …”
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Label-Efficient Fine-Tuning for Remote Sensing Imagery Segmentation with Diffusion Models by Yiyun Luo, Jinnian Wang, Jean Sequeira, Xiankun Yang, Dakang Wang, Jiabin Liu, Grekou Yao, Sébastien Mavromatis

“…It performs channel-wise optimization to suppress feature redundancy and refine representations. …”
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