Implementation of Random Forest Method with Information Gain Selection and Hyperparameter Tuning for Alzheimer’s Disease Classification by Riska Nuril Fadhila, Nurissaidah Ulinnuha, Dian Yuliati, Nurissaidah Ulinnuha, Dian Yuliati

“…Using the Random Forest method with information gain feature selection and hyperparameter tuning optimization, this study aims to determine the results of optimization with feature selection and hyperparameter tuning using Random Search and Grid Search to classify Alzheimer's medical record data consisting of 32 variables, including lifestyle factors, clinical measurements, cognitive and functional assessments, as well as symptoms that indicate Alzheimer's. …”
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MP-LLAVRec: an agricultural product recommendation algorithm based on LLAVA and user modal preference by Peishan Li, Peishan Li, Peishan Li, Lutao Gao, Lutao Gao, Lutao Gao, Lilian Zhang, Lilian Zhang, Lilian Zhang, Lin Peng, Lin Peng, Lin Peng, Chunhui Bai, Chunhui Bai, Chunhui Bai, Linnan Yang, Linnan Yang, Linnan Yang

“…However, the following three problems still exist in the traditional agricultural product recommendation domain: (1) the problem of missing modalities made it difficult for consumers to intuitively and comprehensively understood the product information; (2) most of them relied on shallow information about the basic attributes of agricultural products and ignored the deeper associations among the products; (3) they ignored the deeper connections among individual users and the intrinsic associations between the user embedding and the localized user representation in different modalities, which affected the accuracy of user modeling and hindered the final recommendation effect.MethodsTo address these problems, this paper innovatively proposed an agricultural product recommendation algorithm based on LLAVA and user behavioral characteristics, MP-LLaVRec(Modal Preference - Large Language and Vision Recommendation). …”
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New high-fidelity terrain modeling method constrained by terrain semanteme. by Bo Zhou, Junbo Xu, Xuedong Zhang, Xuejun Liu

“…However, loss of terrain features is a constant problem for grid digital elevation models, although these models have already been defined in such a way that their distinct usage as data sources in terrain modeling processing is prohibited. …”
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The Necessity of Implementing a Quality Management System in the Romanian Medical Units. An Approach from the Patient’s Point of View by Roxana Sârbu, Adriana Zamfir

“…The medical services organizations activate in a specific featured environment, extremely sensitive, dynamic and most of the times unpredictable. …”
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Redundancy Design and Workspace Analysis of 3-PRS Parallel Mechanism by Junjie Huang, Pengfei Wang, Bowen Zhang, Junwei Zhao

“…The redundancy feature of the parallel mechanism can increase the effective workspace，realize the fault-tolerant motion，which improves the performance of the parallel mechanism. …”
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Stable descriptors in image recognition tasks by V. B. Melekhin, V. M. Khachumov

“…The effectiveness of the results obtained is confirmed by experimental studies related to the solution of the problem of recognition of special images - facies. …”
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An Efficient and Stable Registration Framework for Large Point Clouds at Two Different Moments by Guangxin Zhao, Jinlong Li, Jingyi Xi, Lin Luo

“…Point cloud registration plays a great role in many application scenarios; however, the registration of large-scale point clouds for actual different moments suffers from the problems of low efficiency, low accuracy, and a lack of stability. …”
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Were there any tells in the Coţofeni culture area? by Cristian Ioan Popa

“…The lack of fortifications is another feature of these settlements, which takes them away from the classic definition of a tell. …”
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The SSIM index is not a metric and it is badly evaluate the similarity of images by V. V. Starovoitov

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Channel estimation method of massive MIMO-OFDM system based on adaptive compressed sensing by Yiyang HU, Lina QI

“…Massive multiple-input multiple-output (MIMO) is a solution for efficiently providing connection services for a variety of machine equipment in the Internet of things (IoT), and efficient connection services require accurate channel estimation.Aimed at the problems of high pilot overhead and poor performance of normalized mean square error (NMSE) estimation in downlink channel estimation of massive MIMO systems, based on the compressed sensing (CS) theory, the common sparsity of the channel space domain was combined while using the feature of lower sparsity of adjacent time slot differential channel impulse response (CIR), which leaded to a significant reduction in pilot overhead.In the reconstruction algorithm, a two-stage differential estimation algorithm, which divided the channel estimation in consecutive time slots with time correlation into two stages, was proposed and the idea of adaptive compressed sensing was combined to achieve fast and accurate CIR estimate.The simulation results show that the proposed two-stage differential channel estimation algorithm not only has a significant improvement in the estimated NMSE performance and data transmission rate compared to the existing CS-based multiple measurement vector (MMV) algorithm, but also show a certain reduction in runtime complexity.…”
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A Neural Operator Unifying Graph Neural Networks and Point Transformers by Junseung Ryu, Namkyeong Cho, Hyung Ju Hwang

“…Notably, the model demonstrates robustness in handling multi-input/output problems on irregular meshes, whereas other models struggle to converge. …”
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3D Reconstruction and Measurement Analysis of a Dense Point Cloud Fused with a Depth Image by Yujing Qiao, Ning Lv, Siyuan Zhang

“…To solve the problems of holes, noise, and texture information missing in the traditional incremental reconstruction of complex surface objects, a 3D reconstruction method of depth image fusion surface dense point clouds is proposed, and texture feature creation is combined to obtain a 3D reconstruction model that takes into account the main body and details of the reconstructed object. …”
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Vital node searcher: find out critical node measure with deep reinforcement learning by Guanting Du, Fei Zhu, Quan Liu

“…The VNS method first takes advantage of the Graph Embedding to downscale the feature information of the target network, and then uses the deep Q network method to extract the critical node sequence. …”
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Research on Damage Detection of Dual-Rotor Synchronous Excitation Mine Screen Beams Based on Strain Mode Difference Vibration Mode Analysis by Xiaohao Li, Yahui Wang, Yang Zhou

“…This method solves the problem of using the conventional structural finite element analysis or experimental modal analysis methods to obtain the displacement mode, intrinsic frequency, and other characteristics, which make it difficult to effectively identify the actual engineering, with the damage conditions of the damage state and damage location of the mine screen frame beam problems. …”
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The Controlled Disorder as a USA Transitional Strategy toward Multipolarity by Admir Mulaosmanovic

“…The already disavowed international law and unclear international order are a factor in increasing insecurity throughout the world, while the double standards that have become a basic feature of the Western democracies speak of the serious problems that global politics has fallen into. …”
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A Stochastic Learning Algorithm for Machine Fault Diagnosis by Zhipeng Dong, Yucheng Liu, Jianshe Kang, Shaohui Zhang

“…To solve this problem, a new method, named stochastic learning algorithm (SL), is proposed in this paper for dimension reduction. …”
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Bias-field digitized counterdiabatic quantum algorithm for higher-order binary optimization by Sebastián V. Romero, Anne-Maria Visuri, Alejandro Gomez Cadavid, Anton Simen, Enrique Solano, Narendra N. Hegade

“…We apply BF-DCQO to a HUBO problem featuring three-local terms in the Ising spin-glass model, validated experimentally using 156 qubits on an IBM quantum processor. …”
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Languages of Memory and Oblivion in A. Platonov’s Works on the Great Patriotic War by Irina E. Koznova

“…The characteristic feature of A. Platonov’s works is a constant interest in the memorial manifestations of existence. …”
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Convalescing Cluster Configuration Using a Superlative Framework by R. Sabitha, S. Karthik

“…The algorithm and its diverse adaptation methods suffer certain problems in their performance. To overcome these issues a superlative algorithm has been proposed in this paper to perform data clustering. …”
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Application of Improved LSTM Model in Runoff Simulation in Arid Region of Northwest China: A Case Study of the Zuli River by SONG Haiping, TANG Yiran, DANG Wentao, WANG Yibo

“…In view of the scarcity of measured data in the Zuli River Basin, the upper reaches of the Yellow River, as well as the difficult hydrological simulation problems caused by the intense interference of human activities, this study focused on the Zuli River Basin in the upper reaches of the Yellow River. …”
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