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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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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Planning Model for Renewable Energy with Energy Storage Replacing Thermal Power Based on Time Series Operation Simulation by Dawei REN, Chen JIN, Jinming HOU, Jinyu XIAO, Ershun DU, Yuanbing ZHOU

“…By taking the lowest total system cost as the optimization goal and considering the investment decision-making constraints and operation constraints, the proposed model can coordinate and optimize the capacities of power generation and energy storage under different cost scenarios. …”
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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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Classification of Vaginal Cleanliness Grades through Surface‐Enhanced Raman Spectral Analysis via The Deep‐Learning Variational Autoencoder–Long Short‐Term Memory Model by Jia‐Wei Tang, Xin‐Ru Wen, Hui‐Min Chen, Jie Chen, Kun‐Hui Hong, Quan Yuan, Muhammad Usman, Liang Wang

“…The performance of various machine learning (ML) algorithms is assessed using multiple evaluation metrics. Finally, the reliability of the optimal model is tested using blind test data (N = 10/group for each cleanliness level). …”
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Better Pseudo-Labeling for Semi-Supervised Domain Generalization in Medical Magnetic Resonance Image Segmentation by Liangqing Hu, Zuqiang Meng, Chaohong Tan, Yumin Zhou

“…To evaluate the effectiveness of our method, we conduct experiments on six different MRI segmentation datasets. …”
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Bifunctional Catalytic Performance of Zn/ZSM-5 in the Aromatization of LPG and the Conversion of Pyrolytic Gases from Recycled Polypropylene by Diego Barzallo, Miguel A. Reinoso, Gabriela Miranda, Trino Romero, Mario Franco, Paul Palmay

“…Under optimized conditions, the best results were obtained with 2% Zn/ZSM-5, which generated a higher production of BTX (benzene, toluene, and xylene) isomers, which are major components of gasoline. …”
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Truth be told: a multimodal ensemble approach for enhanced fake news detection in textual and visual media by Rami Mohawesh, Islam Obaidat, Ahmed Abdallah AlQarni, Ali Abdulaziz Aljubailan, Moy’awiah A. Al-Shannaq, Haythem Bany Salameh, Ali Al-Yousef, Ahmad A. Saifan, Suboh M. Alkhushayni, Sumbal Maqsood

“…The primary goal of FND is to discern and evaluate the veracity of pivotal claims in news articles, thereby determining the credibility of the presented news. …”
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Application of a Hybrid Model Based on CEEMDAN and IMSA in Water Quality Prediction by GUO Li-jin, WU Hao-tian

“…After integrating decomposition, use of entropy, algorithm optimization, and error correction models, eleven comparative experiments were established to evaluate the effectiveness of each optimization method. …”
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Genetic algorithm-enhanced linear quadratic control for balancing bicopter system with non-zero set point by Esa Apriaskar, Dhidik Prastiyanto, Aryo Baskoro Utomo, Akhyar Abdillah Manaf, Ilya Amelia, Dimas Alfarizky Ilham, Viyola Lokahita Bilqis, Chonlatee Photong

“…The control system was evaluated based on the stability of the transient response and the generated control signal. …”
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From Tables to Computer Vision: Transforming HPDC Process Data into Images for CNN-Based Deep Learning by A. Burzyńska

“…The model's efficacy was evaluated through its application to both large and small, differently distributed data sets. …”
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Graph partition based mapping algorithm on multiprocessors for streaming applications by Qi TANG, Shang-feng WU, Jun-wu SHI, Ji-bo WEI

“…To take advantage of multiprocessor platform,it is a necessity to map tasks of the application properly onto different processors to exploit the concurrency in the application and thus meet the stringent timing requirements.Parallelism graph was proposed to quantify and model the concurrency among tasks of the application.An algorithm was also proposed to construct the parallelism graph based on the self-timed schedule and transform the mapping problem to a graph partitioning problem.The graph partitioning problem as a pure 0-1 integer linear programming model was further formulated and the ILP solver to find the optimal result.A lot of randomly generated synchronous dataflow graphs and a set of practical applications were used to evaluate the performance of the proposed method.The experimental results demonstrate that the proposed method outperforms available algorithms.…”
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Graph partition based mapping algorithm on multiprocessors for streaming applications by Qi TANG, Shang-feng WU, Jun-wu SHI, Ji-bo WEI

“…To take advantage of multiprocessor platform,it is a necessity to map tasks of the application properly onto different processors to exploit the concurrency in the application and thus meet the stringent timing requirements.Parallelism graph was proposed to quantify and model the concurrency among tasks of the application.An algorithm was also proposed to construct the parallelism graph based on the self-timed schedule and transform the mapping problem to a graph partitioning problem.The graph partitioning problem as a pure 0-1 integer linear programming model was further formulated and the ILP solver to find the optimal result.A lot of randomly generated synchronous dataflow graphs and a set of practical applications were used to evaluate the performance of the proposed method.The experimental results demonstrate that the proposed method outperforms available algorithms.…”
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Strengths and limitations of period estimation methods for circadian data. by Tomasz Zielinski, Anne M Moore, Eilidh Troup, Karen J Halliday, Andrew J Millar

“…Here we review those six techniques, explain the principles behind each algorithm and evaluate their performance. In order to quantify the methods' accuracy, we examine the algorithms against artificial mathematical test signals and model-generated mRNA data. …”
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