SGD-TripleQNet: An Integrated Deep Reinforcement Learning Model for Vehicle Lane-Change Decision by Yang Liu, Tianxing Yang, Liwei Tian, Jianbiao Pei

“…This dynamic weight adjustment process fine-tunes the weights based on gradient information to minimize the target loss function. The approach effectively addresses key challenges in autonomous driving lane-change decisions, including slow convergence, low accuracy, and unstable decision-making. …”
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DOG: An Object Detection Adversarial Attack Method by Jinpeng Li, Xiaoyu Ji, Wenyuan Xu, Yushi Cheng

“…By constructing a specialized loss function, the algorithm can iteratively generate adversarial noise, enabling the rapid production of adversarial examples with high attack and transfer rates. …”
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A Diffusion-Based Detection Model for Accurate Soybean Disease Identification in Smart Agricultural Environments by Jiaxin Yin, Weixia Li, Junhong Shen, Chaoyu Zhou, Siqi Li, Jingchao Suo, Jujing Yang, Ruiqi Jia, Chunli Lv

“…This paper proposes a diffusion-based object detection model that integrates the endogenous diffusion sub-network and the endogenous diffusion loss function to progressively optimize feature distributions, significantly enhancing detection performance for complex backgrounds and diverse disease regions. …”
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Energy management strategy for hybrid electric vehicle based on improved PPO algorithm by Chao MA, Tong SUN, Lei CAO, Kun YANG, Wenjing HU

“…In order to effectively explore the environment and learn more efficient strategies,the strategy entropy was added to the loss function to promote the intelligence to strike a balance between exploration and utilization and to avoid premature convergence of strategies to local optimal solutions. …”
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Enhanced Models for Wind, Solar Power Generation, and Battery Energy Storage Systems Considering Power Electronic Converter Precise Efficiency Behavior by Binxin Zhu, Junliang Liu, Shusheng Wang, Zhe Li

“…In two typical application scenarios, the capacity configurations of WT–PV–BES are optimized with optimal cost as the objective function. …”
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State Estimation in Power Systems Under Random Data Attack Using Correlation Matching, Semidefinite Relaxation, and Truncated Eigenvalue Decomposition by Bamrung Tausiesakul, Krissada Asavaskulkiet, Chuttchaval Jeraputra, Ittiphong Leevongwat, Thamvarit Singhavilai, Supun Tiptipakorn

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Influence of cooking methods on physicochemical characteristics and in vitro protein digestibility of restructured pork steak hydrolyzed by bromelain and reformed by κ-carrageenan by Putthapong Phumsombat, Nachomkamon Saengsuk, Natta Laohakunjit, Orrapun Selamassakul, Chanikan Sonklin, Phawinee Srinuan

“…Results demonstrate the potential of sous vide, combined with enzymatic and hydrocolloid treatments, to produce innovative, high-quality restructured meat products that align with modern consumer preferences for convenience, nutrition, and functionality. This research offers a promising framework for optimizing restructured meat production to meet evolving industry and consumer demands.…”
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Investigation of Inlet Guide Vane Efficiency in Centrifugal Compressors for the Turbo Refrigeration Machines by Danilishin A.M., Kozhukhov Y. V., Fateeva E.S., Aksenov A.A.

“…Performance character-istics were derived from numerical simulations, including IGV loss coefficients as functions of di-mensionless geometric parameters and blade shapes. …”
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Tunable Energy-Efficient Approximate Circuits for Self-Powered AI and Autonomous Edge Computing Systems by Shubham Garg, Kanika Monga, Nitin Chaturvedi, S. Gurunarayanan

“…Furthermore, we implemented a simple CNN for pattern detection and integrated our proposed solution to validate its benefits, achieving 15% lower power consumption and 7% lower area overhead without functionality loss.…”
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Double machine learning and design in batch adaptive experiments by Li Harrison H., Owen Art B.

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Techno-functional gelling mechanism and rheological properties of gelatin capsule-waste gel modified with kappa-carrageenan for future functional food applications by Sasina Sanprasert, Pudthaya Kumnerdsiri, Anusorn Seubsai, Piyangkun Lueangjaroenkit, Jaksuma Pongsetkul, Tanyamon Petcharat, Pimonpan Kaewprachu, Samart Sai-ut, Saroat Rawdkuen, Narudol Teerapattarakan, Wanli Zhang, Young Hoon Jung, Passakorn Kingwascharapong

“…In summary, the incorporation of carrageenan into GCW gel significantly influenced its rheological and textural properties. At an optimal substitution level, the GCW gel with carrageenan had strong potential as a functional material for food applications, particularly in soft confectionery.…”
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Preventing muscle loss through early mobilization in non-critically ill older adults admitted to surgical intensive care units by Onuma Chaiwat, Thanadol Wachiramatee, Benjaporn Sathitkarnmanee, Suchera Rattanamung, Piyapat Dajpratham, Napat Thikom, Chayanan Thanakiattiwibun

“…Daily assessments included muscle strength, Medical Research Council sum score (MRC-SS) and handgrip dynamometry, muscle mass (bioelectrical impedance vector analysis), and SICU optimal mobilization score (SOMS). Functional status 1 week post-discharge was measured by telephone using the Barthel Index for activities of daily living (ADL). …”
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The Impact of Ozone on Periodontal Cell Line Viability and Function by Nada Tawfig Hashim, Rasha Babiker, Shahistha Parveen Dasnadi, Md Sofiqul Islam, Nallan CSK Chaitanya, Riham Mohammed, Nancy Soliman Farghal, Bakri Gobara, Muhammed Mustahsen Rahman

“…Future research focusing on optimized protocols and evidence-based guidelines is essential to fully realize its potential in enhancing periodontal health and improving patient outcomes.…”
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IESSP: Information Extraction-Based Sparse Stripe Pruning Method for Deep Neural Networks by Jingjing Liu, Lingjin Huang, Manlong Feng, Aiying Guo, Luqiao Yin, Jianhua Zhang

“…This loss function also supports the adaptive optimization of stripe sparsity during training. …”
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Intelligent Firefighting Technology for Drone Swarms with Multi-Sensor Integrated Path Planning: YOLOv8 Algorithm-Driven Fire Source Identification and Precision Deployment Strateg... by Bingxin Yu, Shengze Yu, Yuandi Zhao, Jin Wang, Ran Lai, Jisong Lv, Botao Zhou

“…Finally, a new High Intersection over Union (HIoU) loss function is proposed to address the challenge of computing localization and classification loss for targets. …”
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A Novel Attention-Guided Enhanced U-Net With Hybrid Edge-Preserving Structural Loss for Low-Dose CT Image Denoising by Muhammad Zubair, Helmi Md Rais, Talal Alazemi

“…The proposed model undergoes iterative training, using a custom loss function to refine its parameters and improve CT image denoising progressively. …”
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DGSS-YOLOv8s: A Real-Time Model for Small and Complex Object Detection in Autonomous Vehicles by Siqiang Cheng, Lingshan Chen, Kun Yang

“…The key innovation lies in the synergistic integration of several architectural enhancements: the DCNv3_LKA_C2f module, leveraging Deformable Convolution v3 (DCNv3) and Large Kernel Attention (LKA) for better the capture of complex object shapes; an Optimized Feature Pyramid Network structure (Optimized-GFPN) for improved multi-scale feature fusion; the Detect_SA module, incorporating spatial Self-Attention (SA) at the detection head for broader context awareness; and an Inner-Shape Intersection over Union (IoU) loss function to improve bounding box regression accuracy. …”
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A novel approach to skin disease segmentation using a visual selective state spatial model with integrated spatial constraints by Yu Bai, Hai Zhou, Hongjie Zhu, Shimin Wen, Binbin Hu, Haotian Li, Huazhang Wang, Daji Ergu, Fangyao Liu

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Illumination-adaptative granularity progressive multimodal image fusion method by Chuanyun WANG, Dongdong SUN, Mingqi ZHOU, Tian WANG, Qian GAO, Zhaokui LI

“…Homogeneous and heterogeneous loss functions are constructed based on different environmental conditions, enabling adaptive learning. …”
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TRANSFORM-HF Trial: Choice of loop diuretic in acute heart failure does not matter! by Akshyaya Pradhan, Arvind Jaiswal, Monika Bhandari

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