Factor Graph-Based Planning as Inference for Autonomous Vehicle Racing by Salman Bari, Xiagong Wang, Ahmad Schoha Haidari, Dirk Wollherr

“…We model the planning problem as a probabilistic inference over a factor graph, with factor nodes capturing the joint distribution of motion objectives. …”
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Diversified Image Inpainting With Transformers and Denoising Iterative Refinement by Shuzhen Xu, Wenlong Xiang, Cuicui Lv, Shuo Wang, Guanhua Liu

“…Image inpainting is a long-standing key problem in the field of computer vision, which aims to fill the missing parts of an image with visually realistic and semantically appropriate content. …”
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A Robust Capon Beamforming Algorithm with Desired Signal Steering Vector Correction by Zhiqi Gao, Bowen Wu, Pingping Huang, Wei Xu, Weixian Tan, Zhixia Wu

“…The core of the proposed robust Capon beamforming technique lies in leveraging the orthogonality between the steering vector and the noise space, the estimated expected signal steering vector is corrected. Based on this feature, the proposed algorithm meticulously optimizes the predicted steering vector of the desired signal, which can mitigate the problem of performance degradation caused by the mismatch in the steering vector. …”
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Reliability-Based Geotechnical Design Method Using the Gaussian Process Regression–Based Differential Evolution Algorithm by Kai Wen, Zemin Kuang, Wei Zeng, Sanyou Zeng, Yue Qiu

“…The innovative use of expected improvement (EI) as a selection criterion for potential solutions is a key feature of this method. EI quantitatively evaluates each candidate’s potential to enhance economic efficiency and safety reliability, effectively converting the COP into a single-objective optimization problem (SOOP). …”
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Multi-Skilled Project Scheduling for High-End Equipment Development Considering Newcomer Cultivation and Duration Uncertainty by Yaohui Liu, Ronggui Ding, Shanshan Liu, Lei Wang

“…Solving the model is blocked by the inherently NP-hard nature of the project scheduling problem and the stochasticity of the durations. Therefore, we put forward an adaptive simulation–optimization approach featuring two-fold: a simulation module capable of dynamically adjusting sample sizes based on convergence feedback and evaluating solutions with improved efficiency and stable accuracy; a tailored non-dominated sorting genetic algorithm II (NSGA-II) with adaptive evolutionary operators that enhance search effectiveness and ensure the identification of a well-distributed Pareto front. …”
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QLAW: An Improved Quantization-Based Local Audio Watermarking Scheme Using Inter-Frame Correlation by Qiutong Li, Zheng Xing, Ju Wang, Guoheng Huang, Xiaochen Yuan

“…Based on the main energy region, the Stable Frequency and Energy Region Extractor is conducted to find the local feature region for embedding. After segmenting the local feature embedding region into several frames, Adjacent Frame Extraction Process (AFEP) is conducted to select the adjacent frame. …”
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Exploring Kernel Machines and Support Vector Machines: Principles, Techniques, and Future Directions by Ke-Lin Du, Bingchun Jiang, Jiabin Lu, Jingyu Hua, M. N. S. Swamy

“…Based on statistical learning theory and the maximum margin principle, SVM attempts to determine an optimal hyperplane by addressing a quadratic programming (QP) problem. Using Vapnik–Chervonenkis dimension theory, SVM maximizes generalization performance by finding the widest classification margin within the feature space. …”
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A New Quantum Circuits of Quantum Convolutional Neural Network for X-Ray Images Classification by Mohammed Yousif, Belal Al-Khateeb, Begonya Garcia-Zapirain

“…In order to address a problem using CNN utilizing quantum computing, Quantum Convolutional Neural Network (QCNN) proposes a novel quantum solution or enhances the functionality of an existing learning model in terms of processing time during training. …”
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Research on Underwater Small Target Detection Technology Based on Single-Stage USSTD-YOLOv8n by Weiguo Yi, Jinwei Yang, Lingwei Yan

“…First, CARAFE is adopted as anew up-sampling method to achieve more correct feature reconstruction under low underwater visibility. …”
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MPAR-RCNN: a multi-task network for multiple person detection with attribute recognition by S. Raghavendra, S. K. Abhilash, Venu Madhav Nookala, Jayashree Shetty, Praveen Gurunath Bharathi

“…Multi-label attribute recognition is a critical task in computer vision, with applications ranging across diverse fields. This problem often involves detecting objects with multiple attributes, necessitating sophisticated models capable of both high-level differentiation and fine-grained feature extraction. …”
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SCTNet-NAS: efficient semantic segmentation via neural architecture search for cloud-edge collaborative perception by Ruyu Liu, Lin Wang, Zhihao Yu, Haoyu Zhang, Xiufeng Liu, Bo Sun, Xv Huo, Jianhua Zhang

“…Abstract Efficient semantic segmentation on edge devices is critical for cloud-edge perception, yet achieving high accuracy under resource constraints remains challenging. To alleviate this problem, this paper presents SCTNet-NAS, a novel framework for efficient edge segmentation via cloud-edge co-optimization. …”
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DEMNet: A Small Object Detection Method for Tea Leaf Blight in Slightly Blurry UAV Remote Sensing Images by Yating Gu, Yuxin Jing, Hao-Dong Li, Juntao Shi, Haifeng Lin

“…DEMNet introduces a dynamic convolution mechanism into the HGNetV2 backbone to form DynamicHGNetV2, enabling adaptive convolutional weight generation and improving feature extraction for blurry objects. An efficient EMAFPN neck structure further facilitates deep–shallow feature interaction while reducing the computational cost. …”
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Globalization, crisis and discourse on terrorism by Pavlićević Predrag

“…The issue stems from manipulative qualifications that fail to establish the truth. The problem lies in qualifications not acquired through procedures that lead to an objective view of reality. …”
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Global Exponential Stability of Both Continuous-Time and Discrete-Time Switched Positive Time-Varying Delay Systems with Interval Uncertainties and All Unstable Subsystems by Thanasak Mouktonglang, Suriyon Yimnet

“…A distinctive feature of this research is that all subsystems are considered to be unstable. …”
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Stakeholder cooperation in implementation of the sustainable development concept: Montenegrin tourist destinations by Ljiljana Pjerotic

“…Tourism destination planning is a complex process, due to the existence of a wide variety of stakeholders with a wide range of opinions, multiple problem visions and different interests. Despite the complexity of the planning process one feature acknowledged for successful destination management planning is high level of stakeholder cooperation. …”
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استخدام تمرينات باستخدام صناديق القفز بارتفاعات مختلفه في تطوير بعض القدرات البدنيه والحركيه وانجاز 100م حواجز للطالبات... by انتصار مزهر صدام

“…And should the individual Ttoiralkablaat to perform each event to the development capabilities physical and kinetic force it and the speed, flexibility and agility using different elevations boxes and back training methods considered researcher studying this problem through the use of this type of training and study aimed at identifying the impact of exercise using funds different elevations in the development of some physical and motor abilities of the research sample and chose researcher way intentional students from the fourth stage totaling 20 students opted for testing the capabilities of physical and motor after the agreed upon by experts (jump broadband and consistency, and test partridge for the maximum duration of 10 the distance and achievement 100 meter hurdles and the researcher concluded that the proposed exercise worked to develop explosive power and feature maximum speed, speed and researcher recommends certainly attention trained muscle strength along with other physical attributes …”
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Fault detection and diagnosis method for heterogeneous wireless network based on GAN by Xiaorong ZHU, Peipei ZHANG

“…Aiming at the problem that in the process of network fault detection and diagnosis,how to train the precise fault diagnosis and detection model based on small data volume,a fault diagnosis and detection algorithm based on generative adversarial networks (GAN) for heterogeneous wireless networks was proposed.Firstly,the common network fault sources in heterogeneous wireless network environment was analyzed,and a large number of reliable data sets was obtained based on a small amount of network fault samples through GAN algorithm.Then,the extreme gradient boosting (XGBoost) algorithm was used to select the optimal feature combination of input parameters in the fault detection stage and completed fault diagnosis and detection based on these data.Simulation results show that the algorithm can achieve more accurate and efficient fault detection and diagnosis for heterogeneous wireless networks,with an accuracy of 98.18%.…”
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Research progress of chondroitin sulfate and chondroitin sulfate proteoglycan in diabetic kidney disease by ZHANG Min, HU Chun, WU Xiao-yan

“…Diabetic kidney disease(DKD) is a serious complication of diabetes mellitus and an important global public health problem. Due to the complex pathogenesis of DKD, there is still few specific and effective treatment measures. …”
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Noise Immunity Radio Link Model in Dynamic Intentional Exposure by S. V. Dvornikov, A. V. Pshenichnikov

“…The solution to this problem can be obtained by the development of complex operation algorithms for radio system. …”
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Wireless HDLC Protocol for Energy-Efficient Large-Scale Linear Wireless Sensor Networks by Daniel Mihai Toma, Joaquin del Rio, Antoni Mànuel

“…By applying for the first time a standard data layer along with a time division multiple access (TDMA)-based medium access control (MAC) and time synchronization technique specifically designed for the linear topology, we address the interoperability problem with guaranteed energy efficiency and data link performance in linear sensor topology. …”
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