Multi-omics and machine learning-driven CD8+ T cell heterogeneity score for head and neck squamous cell carcinoma by Di He, Zhan Yang, Tian Zhang, Yaxian Luo, Lianjie Peng, Jiatao Yan, Tao Qiu, Jingyu Zhang, Luying Qin, Zhichao Liu, Mouyuan Sun

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Screening of multi deep learning-based de novo molecular generation models and their application for specific target molecular generation by Yishu Wang, Mengyao Guo, Xiaomin Chen, Dongmei Ai

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Construction of Multi-level Ecological Corridor System for National Parks: A Case Study of the Proposed Nanling National Park by Yi DENG, Zeyu HUANG, Ziyi MAO, Jinling HUANG

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Exploring the multi-targeted mechanism of Saikosaponin A in prostate cancer treatment: a network pharmacology and molecular docking approach by Genbao Zhu, Genbao Zhu, Genbao Zhu, Zhiming Jiang, Niuping Zhu, Niuping Zhu, Donghui Wang, Donghui Wang, Tianpeng Guo, Tianpeng Guo, Yiqing Meng, Yiqing Meng, Yi Zhu, Yi Zhu, Kemeng Tan, Mengxue Hu, Heng Tang, Xuannian Wang, Xuannian Wang

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Light-YOLO: a lightweight detection algorithm based on multi-scale feature enhancement for infrared small ship target by Ji Tang, Xiao-Min Hu, Sang-Woon Jeon, Wei-Neng Chen

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A Comprehensive Approach to Intrusion Detection in IoT Environments Using Hybrid Feature Selection and Multi-Stage Classification Techniques by G. Logeswari, J. Deepika Roselind, K. Tamilarasi, V. Nivethitha

“…This paper presents a novel IDS that integrates Quantum-Inspired Particle Swarm Optimization (QIPSO) with Adaptive Neuro-Fuzzy Inference System (ANFIS) for optimized feature selection, followed by a multi-stage classification pipeline using Capsule Networks (CapsNets) and Attention Augmented-Recurrent Neural Networks (RNNs). …”
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A clinical trial evaluates the effect of pomegranate extract as a mouth wash for gingivitis in type 2 diabetic patients by Shayma Ghazi, Dilyar Ahmed Baban, Saif Monem Aziz

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Deteksi Kejadian Lalu Lintas pada Teks Twitter dengan Pendekatan Klasidikasi Multi-Label Berbasis Deep Learning by Luthfi Atikah, Diana Purwitasari, Nanik Suciati

“…Pada penelitian ini dilakukan klasifikasi multi-label menggunakan 18.000 data dari akun twitter terverifikasi di Surabaya. …”
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Evaluation of Ecosystem Services and Tradeoff and Synergy in the Alpine and Canyon Region of Southwest China Based on Multi-source Geographic Data by LIU Jing, XIANG Jiayi, ZHANG Donghai, LAN Mengyao, GUAN Yinghui

“…[Methods] Three typical ecosystem services in the alpine and canyon region of southwest China from 2000 to 2020 were systematically evaluated using the InVEST model, RUSLE model, and WR index, in combination with multi-source geographic datasets. [Results] (1) From 2000 to 2020, carbon sequestration and water retention services in the alpine and canyon region of southwest China were steadily improved, with annual carbon sequestration increasing from 1 927 g/(m2·a) to 1985 g/(m2·a), and the WR index rising from 0.062 to 0.067. …”
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Effect of Rifaximin and a Multi-Strain Probiotic on the Intestinal Microbiome and Cardiovascular Risk Indicators in Patients with Coronary Heart Disease by E. A. Kashukh, E. A. Poluektova, A. V. Kudryavtseva, G. S. Krasnov, V. I. Kazey, P. D. Sobolev, P. V. Gremyakova, V. T. Ivashkin

“…To assess the effect of rifaximin and a multi-strain probiotic on the intestinal microbiome and the indicators of cardiovascular risk in patients with coronary heart disease (CHD).Materials and methods. …”
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CoTF-reg reveals cooperative transcription factors in oligodendrocyte gene regulation using single-cell multi-omics by Jerome J. Choi, John Svaren, Daifeng Wang

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Analisis Kinerja Algoritme TCP Congestion Control Berdasarkan Single dan Multiple Flow pada Multi-Path Routing by Bayu Sutawijaya, Achmad Basuki, Fitra Abdurrachman Bachtiar

“…Teknik multi-path routing merupakan solusi efektif untuk menambah kapasitas bandwidth jaringan. …”
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A multi-model feature fusion based transfer learning with heuristic search for copy-move video forgery detection by Hessa Alfraihi, Muhammad Swaileh A. Alzaidi, Hamed Alqahtani, Abdulbasit A. Darem, Ali M. Al-Sharafi, Ahmad A. Alzahrani, Menwa Alshammeri, Abdulwhab Alkharashi

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Multi-stage adaptive speed control with torque ripple optimization for a switched reluctance motor in electric vehicle applications by Youness Boumaalif, Hamid Ouadi, Fouad Giri

Subjects: “…Multi-stage adaptive speed control…”
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Multi-Objective Simulated Annealing for Efficient Task Allocation in UAV-Assisted Edge Computing for Smart City Traffic Management by Ahmed Shamil Mustafa, Salman Yussof, Nurul Asyikin Mohamed Radzi

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Multi-objective optimization of water resources allocation in rift valley lakes basin (Ethiopia): tradeoffs between efficiency and equity by Mulugeta Mohammed, Belete Birhanu, Fentaw Abegaz

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MILP Modeling and Optimization of Multi-Objective Three-Stage Flexible Job Shop Scheduling Problem With Assembly and AGV Transportation by Shiming Yang, Leilei Meng, Saif Ullah, Biao Zhang, Hongyan Sang, Peng Duan

“…FJSP-T-A is NP-hard, and an efficient multi-population co-evolutionary algorithm (MPCEA) is proposed to efficiently solve large-scale instances. …”
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Optimal WSN Deployment to Measure Air Quality in Dynamic Multi-Source Dispersion Scenarios: A Case Study in Arequipa by Alexander Hilario-Tacuri, Alberth Tamo, Marco Pinares-Mamani, Walter Butron, Romel Jimenez

“…Thus, to address this public health challenge, this article introduces a novel dynamic multi-source dispersion model that accounts for variations in wind velocity and direction over time, recognizing that air pollution is influenced by rapidly changing environmental factors. …”
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Taguchi Grey relational analysis (GRA) based multi response optimization of flammability, comfort and mechanical properties in station suits by Hafsa Jamshaid, Awais Ahmad Khan, Rajesh Kumar Mishra, Naseer Ahmad, Vijay Chandan, Viktor Kolář, Miroslav Müller

“…Therefore, it is essential to balance these multi responses in a scientific manner. This study explores the multi-response optimization of fiber blend composition and knitted structures on the responses like flammability, comfort, and serviceability/mechanical properties, for the development of fire-resistant fabrics. …”
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Deep learning and radiomics for gastric cancer serosal invasion: automated segmentation and multi-machine learning from two centers by Hui Shang, Tao Feng, Dong Han, Fengying Liang, Bin Zhao, Lihang Xu, Zhendong Cao

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