Exploring sentiment analysis in handwritten and E-text documents using advanced machine learning techniques: a novel approach by Rayees Ahamad, Kamta Nath Mishra

“…This study highlights the adaptability of the ESIHE_AML algorithms-based model for analyzing sentiments in digital communication systems of the modern era.…”
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Dynamic Calibration Method of Multichannel Amplitude and Phase Consistency in Meteor Radar by Yujian Jin, Xiaolong Chen, Songtao Huang, Zhuo Chen, Jing Li, Wenhui Hao

“…In this study, we propose a dynamic adaptive calibration method that combines normalized least mean square and correlation algorithms, integrated with hardware design. …”
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Managing Cow’s Milk Protein Allergy in Indonesia: A Cost-effectiveness Analysis of Hypoallergenic Milk Formulas from the Private Payers’ Perspective by Ana Teresa Paquete, Rui Martins, Mark P. Connolly, Badriul Hegar, Zakiudin Munasir, Stephanus Stephanus

“…**Methods:** A trial-based decision analytic cohort model was adapted to simulate the occurrence of cow’s milk protein allergy symptoms or being symptom free. …”
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Contribution of the P3AP2KB Service in Handling the Impact of Child Marriage in Sleman Regency by Fakih Abdul Rozak, Putri Ayu Nurmalinda, Syarif Hidayatullah

“…The decision to marry must be accompanied by the ability to adapt in handling stress and social pressure as well as pressure from the family that will definitely arise. …”
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Concept, Framework, and Data Model for Geographical Soundscapes by Xiu Lu, Guannan Li, Xiaoqing Song, Liangchen Zhou, Guonian Lv

“…The results show that our basic framework for a geo-soundscape is well adapted to the Geo-MPEG-7 data model. The model can store, organize, and describe all the soundscape information containing all elements and inter-element relationships. …”
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Progress on Foot Assessment and Training to Prevent Running-related Injuries by ZHAO Xianli, LI Xinyu, WU Xubo, SHAN Chunlei, ZHANG Yihui, ZHANG Cai

“…This paper summarizes the common RRI foot assessment tools and reviews the current common foot intervention strategies for preventing RRI in the aspects of foot muscle training, foot strike pattern and pre-run adaptive training etc. It puts forward that runners can take RRI risk assessment before starting the running training plan and strengthen the weak parts of foot with reference to the neutral position FPI-6, plantar pressure distribution and arch form; runners can take a period of muscle strength training before increasing the intensity of running each time, and pay special attention to foot core muscle group training. …”
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Personalized tourism recommendation model based on temporal multilayer sequential neural network by XueFei Xiao, ChunHua Li, XingJie Wang, AnPing Zeng

“…The fixed-length trajectory segmentation method designed in TMS-Net can adaptively adjust the segmentation length of tourist trajectories, effectively addressing the issue of large spatiotemporal spans by integrating tourist behavior characteristics and route complexity. …”
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Uncertainty quantification of CT regularized reconstruction within the Bayesian framework by Negin Khoeiniha, Patricio Guerrero, Wim Dewulf

“…To achieve these goals, we apply a rapid regularized Markov Chain Monte Carlo (MCMC) reconstruction method [4, 5], employing the Metropolis-Adjusted Langevin Algorithm (MALA) [6] and its Lipschitz-adaptive variant (LipMALA) [7]. This approach produces a volumetric model where each voxel is represented by a probability distribution, which can be transformed into a triplet of gray-value models: one for the central value and two for the bounds of the confidence interval. …”
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Research on SiC Speed Controller for High-Voltage Distributed Electric Propulsion System by Labin Wang, Yunhan He, Yun Xu, Li Fan, Junhua Xiang

“…Second, to solve the challenge of wide battery voltage fluctuation range and inconsistent controller output, an adaptive pulse width modulation (PWM) regulation mode for battery voltage is proposed, ensuring stable controller output. …”
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Prediction of Ultimate Load of Rectangular CFST Columns Using Interpretable Machine Learning Method by Tien-Thinh Le, Hieu Chi Phan

“…Therefore, this paper deals with the prediction of ultimate load of rectangular CFST structural members using the adaptive neurofuzzy inference system (ANFIS) surrogate model. …”
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Digital Strategy, Digital Leadership, Organizational Agility, and Digital Transformation for Agricultural Business Sustainability: A Human Resource Management Review by Zulkifli Zulkifli, Adnan Hakim

“…As a practical contribution, companies must adapt early on to transform their businesses with a digital approach, because the era of digital technology requires digitalization. …”
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Diversity and occurrence of methylotrophic yeasts used in genetic engineering by A. S. Rozanov, E. G. Pershina, N. V. Bogacheva, V. Shlyakhtun, A. A. Sychev, S. E. Peltek

“…Strains of other species of methylotrophic yeasts have been adapted, among which the genus Ogataearepresentatives prevail. …”
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Automatic Recognition Method of Letter Images in English Self-Learning Based on Partial Differential Equation Method by Yu Zhao, Shuping Du, Ran Li, Hong Yue

“…According to the current situation of knowledge popularization, students simply rely on the knowledge learned in the classroom that is far from adapting to the development of modern society; so, every student needs to have the consciousness and ability of independent learning. …”
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Deep Reinforcement Learning-Based Task Partitioning Ratio Decision Mechanism in High-Speed Rail Environments with Mobile Edge Computing Server by Seolwon Koo, Yujin Lim

“…The results highlight the efficacy of DRL-based approaches in dynamically adapting to the unique characteristics of HSR environments, achieving optimal resource allocation and maintaining high QoS. …”
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Dancing to improve balance control, cognitive-motor functions and quality of life after stroke: a study protocol for a randomised controlled trial by Emmanuel Morice, Julien Moncharmont, Clémentine Jenny, Anne-Violette Bruyneel

“…Very few studies have examined dance in a stroke context, while it is highly adapted and effective for other chronic conditions.Our primary objective is to assess the effects of dance programme on patients’ balance control after stroke. …”
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Design of an Integrated Model for Video Summarization Using Multimodal Fusion and YOLO for Crime Scene Analysis by Sai Babu Veesam, Aravapalli Rama Satish

“…Finally, a feedback-driven reinforcement learning framework named RL-HITL allows continuous improvement based on human input, which enhances the adaptability of the system over temporal instance sets. …”
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Assessing the irrigation water requirement and irrigation water use at a house scale in Las Vegas Valley by Rubab Saher, Thomas Ott

“…By understanding the variability in irrigation patterns and the potential for water wastage, regions facing similar challenges can adapt the framework to have a better understanding of the status quo of irrigation strategies.…”
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Effect of bortezomib on the treatment of multiple myeloma: a systematic review protocol by Vania dos Santos Nunes-Nogueira, Lucas Oliveira Cantadori, Rafael Dezen Gaiolla

“…This study aims to assess the effects of bortezomib on the overall survival (OS), progression-free survival, overall response rate, time to next treatment, health-related quality of life, compliance, adverse events and treatment-related death in patients with MM.Methods and analysis We have performed a systematic review and meta-analysis and will include both randomised and non-randomised controlled studies where the effect of bortezomib was compared in similar or dissimilar background therapies in each arm. General and adaptive search strategies have been created for the following electronic health databases: Embase, Medline, LILACS and CENTRAL. …”
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Graph Convolution for Large-Scale Graph Node Classification Task Based on Spatial and Frequency Domain Fusion by Junwen Lu, Lingrui Zheng, Xianmei Hua, Yankun Wang

“…Finally, LEGNN introduces an adaptive graph structure adjustment mechanism, allowing the model to dynamically adjust the graph topology based on input data, enabling it to flexibly handle evolving data scenarios. …”
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Prediction of mechanical characteristics of shearer intelligent cables under bending conditions. by Lijuan Zhao, Dongyang Wang, Guocong Lin, Shuo Tian, Hongqiang Zhang, Yadong Wang

“…This method leverages TCN's causal and dilated convolution operations to capture long-term sequential features, BiLSTM's bidirectional information processing to ensure the completeness of sequence information, and the SEAttention mechanism to assign adaptive weights to features, effectively enhancing the focus on key features. …”
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