Image Based Hair Segmentation Algorithm for the Application of Automatic Facial Caricature Synthesis by Yehu Shen, Zhenyun Peng, Yaohui Zhang

“…Secondly, the energy function of the test image is constructed according to the estimated prior distributions of hair location and hair color likelihood. …”
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A Reinforcement Learning-Based Generative Approach for Event Temporal Relation Extraction by Zhonghua Wu, Wenzhong Yang, Meng Zhang, Fuyuan Wei, Xinfang Liu

“…Despite extensive efforts in this area, the existing methods face two main issues. Firstly, the previous models for event temporal relation extraction mainly rely on a classification framework, which fails to output the crucial contextual words necessary for predicting the temporal relations between two event triggers. …”
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A Design Framework for Scalable and Adaptive Multi-Agent Coordination in Dynamic Environments: Addressing Concurrent Agent and Environment Interactions by Raza Muhammad Kazim, Guoxin Wang, Zhenjun Ming, Jinhui Cao, Janet K. Allen, Farrokh Mistree

“…In dynamic environments, such as box-pushing tasks, multi-agent systems (MAS) face significant challenges in coordinating agents within high-density settings while managing uncertainties arising from fluctuations in agent configurations and environmental dynamics. …”
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Analisis statistik kinerja dan koreksi kesalahan data curah hujan berbasis satelit di Provinsi Bali by Putu Aryastana, Cokorda Agung Yujana, Kadek Windy Candrayana, Krisna Himawan Subiyanto

“…Rainfall observations from station measurements face challenges in Bali Province, particularly due to the scarcity of measurements in remote and mountainous areas. …”
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Cancer pain and quality of life structural equation model based on the biopsychosocial model by Xiaoyu Hu, Jingjing Lü, Chang Qin, Xiaoxuan Liu, Jianbiao Zhu, Yongchun Cui

“…Data collection involved face-to-face administration of the Brief Pain Inventory-Short Form and the Quality of Life Questionnaire-Function 17. …”
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Dynamic Muscle Stimulation of the Periorbital Area for Improvement of Blinking in Dry Eye Patients by Chelnis JG, Chelnis A

“…This multi-factorial disease is mostly due to poor function of meibomian glands within the eyelids (MGD). …”
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FINANCING INNOVATION IN ROMANIA by SORIN SERBAN

“…Assessing the role of financial restrictions on innovation reveals that a firm is facing obstacles to finance its innovative activities but also other difficulties to innovate which appears to be enhanced. …”
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A Linear Fitting Algorithm Based on Modified Random Sample Consensus by Yujin Min, Yun Tang, Hao Chen, Faquan Zhang

“…When performing linear fitting on datasets containing outliers, common algorithms may face problems like inadequate fitting accuracy. We propose a linear fitting algorithm based on Locality-Sensitive Hashing (LSH) and Random Sample Consensus (RANSAC). …”
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Analysis of reconstructive methods in surgical treatment of nasal skin defects by Jović Marko S., Dimitrijević Milovan M., Dimitrijević Ana M., Stojković Goran G.

“…Conclusions. Estimation the postoperative functional and esthetic characteristics of different reconstructive methods is one of the basic preconditions of suc-cessful reconstruction.…”
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Deep Neural Network for Cure Fraction Survival Analysis Using Pseudo Values by Ola Abuelamayem

“…For example, in medicine, some patients may never have cancer, and some may never face Alzheimer.  Ignoring such information and analyzing the data with traditional survival models may lead to misleading results. …”
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Research on FTTR WLAN indoor wireless location algorithm based on frequency response by Zhifeng LONG, Jing ZHANG

“…Highly accurate and reliable indoor wireless positioning services have been widely used.In order to obtain good positioning accuracy, the design of positioning algorithms needs to be matched with wireless positioning facilities.fiber to the room (FTTR) is an indoor access network solution based on IEEE 802.11 ax, a new generation of wireless local area network (WLAN) standard.Compared with the existing Wi-Fi networks, FTTR has a much larger available band width.However, FTTR WLAN also lacks of a public valid data set to support localization functions, which makes the localization research based on FTTR scenarios face huge obstacles.In order to solve the above problems, firstly, a frequency response-based FTTR scene dataset generation method was proposed, which uses the existing Wi-Fi localization dataset to generate the frequency response matrix within the available band width of FTTR.Then, the parallel path principal component analysis (PCA) method was used to generate the classification matrix.And the generated dataset was trained using a fully connected neural network to improve the accuracy.The experimental results on the real measurement dataset show that the proposed localization algorithm can achieve a localization accuracy of less than 1 m, which is not only more accurate than the traditional location estimation algorithm, but also basically meets the fine-grained localization requirements for practical applications.…”
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Exploring Machine Learning and Deep Learning Approaches for Battery Management Systems in EVs: A Comprehensive Review by Sathish J., Ramash Kumar K., Saraswathi D.

“…Electric vehicles (EVs) are a promising zero-emission technology in the automobile industry, but they face several challenges in terms of performance, reliability, and safety. …”
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Research on FTTR WLAN indoor wireless location algorithm based on frequency response by Zhifeng LONG, Jing ZHANG

“…Highly accurate and reliable indoor wireless positioning services have been widely used.In order to obtain good positioning accuracy, the design of positioning algorithms needs to be matched with wireless positioning facilities.fiber to the room (FTTR) is an indoor access network solution based on IEEE 802.11 ax, a new generation of wireless local area network (WLAN) standard.Compared with the existing Wi-Fi networks, FTTR has a much larger available band width.However, FTTR WLAN also lacks of a public valid data set to support localization functions, which makes the localization research based on FTTR scenarios face huge obstacles.In order to solve the above problems, firstly, a frequency response-based FTTR scene dataset generation method was proposed, which uses the existing Wi-Fi localization dataset to generate the frequency response matrix within the available band width of FTTR.Then, the parallel path principal component analysis (PCA) method was used to generate the classification matrix.And the generated dataset was trained using a fully connected neural network to improve the accuracy.The experimental results on the real measurement dataset show that the proposed localization algorithm can achieve a localization accuracy of less than 1 m, which is not only more accurate than the traditional location estimation algorithm, but also basically meets the fine-grained localization requirements for practical applications.…”
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Fish keypoint detection for offshore aquaculture: a robust deep learning approach with PCA-based shape constraint by Gen Li, Gen Li, Anji Lian, Zidan Yao, Yu Hu, Yu Hu, Guoliang Pang, Guoliang Pang, Taiping Yuan, Taiping Yuan, Zhenhua Li, Xiaohua Huang, Xiaohua Huang, Gang Wang

“…IntroductionFish keypoint detection is a prerequisite for accurate fish behavior analysis and biomass weight estimation, and is therefore crucial for efficient and intelligent offshore aquaculture. …”
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The efficacy of total hip arthroplasty in patients with systemic lupus erythematosus: a systematic review and meta-analysis by Jun Lu, Jiangting Yu, Xiaoping Wang, Tingting Hua

“…Discussion In conclusion, although SLE patients show similar improvements in hip function postoperatively compared to non-SLE patients, they face a significantly higher risk of complications, including prosthetic dislocation, blood transfusion requirements, DVT, and wound infections. …”
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The nexus between household consumption, consumer protection, and consumer confidence in European countries: A statistical-mathematical analysis by Ferrentino Rosa, Vota Luca

“…In particular, they collected cross-sectional data on 27 European countries and then estimated a consumption function accounting for both the Post-Keynesian Absolute Income Hypothesis and the Neoclassical Life-Cycle Hypothesis. …”
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Enhanced-Similarity Attention Fusion for Unsupervised Cross-Modal Hashing Retrieval by Mingyong Li, Mingyuan Ge

“…This fused matrix guides the learning of hash functions by preserving the most relevant information from each modality. …”
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Remaining Useful Life Prediction Based on Wear Monitoring with Multi-Attribute GAN Augmentation by Xiaojun Zhu, Yan Pan, Bin Lan, He Wang, Huixin Huang

“…The expectation-maximization algorithm with Bayesian updating is employed for real-time parameter calibration, enabling a dynamic derivation of the probability density functions for RUL estimation. Finally, the validity and practicality of the proposed model are verified through actual engineering case studies.…”
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The Effect of Financial Market Capitalisation on Economic Growth and Unemployment in South Africa by Wandile Allan Ngcobo, Sheunesu Zhou, Strinivasan S. Pillay

“…South Africa continues to face persistent macroeconomic issues, including stagnant economic growth, declining investment, and rising unemployment. …”
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AI-powered visual E-monitoring system for cattle health and wealth by Aung Si Thu Moe, Pyke Tin, Masaru Aikawa, Ikuo Kobayashi, Thi Thi Zin

“…Through integrated deep learning algorithms, the platform performs key health-related tasks, including ear-tag, body-based, and face-based cattle identification, body condition scoring (BCS), lameness detection, feeding time estimation, and real-time localization. …”
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