DEICTIC MITIGATION VS COMMISSIVE ACTS IN POLITICAL INTERVIEW (BASED ON THE MODERN EUROPEAN DISCOURSE OF AID TO UKRAINE) by Nataliia K. Kravchenko, Sviatoslav I. Vylinskyi, Oleksandr I. Yudenko

“…To achieve the purpose and objectives set in the article, the following research methods are used: the method of speech acts analysis and the method of inferencing the shields-based conventional implicatures, supplemented by elements of componential analysis. …”
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High spatiotemporal resolution vegetation FAPAR estimation from Sentinel-2 based on the spectral invariant theory by Yunzhu Tao, Naijie Peng, Wenjie Fan, Xihan Mu, Husi Letu, Run Ma, Siqi Yang, Qunchao He, Dechao Zhai, Huangzhong Ren

“…Consequently, an hourly FAPAR estimation algorithm based on the FAPAR-Pro model (HFP) was developed to derive hourly FAPAR at high spatial resolution. …”
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Research on Fracture Energy Prediction and Size Effect of Concrete Based on Deep Learning with SHAP Interpretability Method by Huiming Wang, Weiqi Zhang, Jie Lin, Shengpin Guo

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Insect Detection Using mm-Waves: Integrated Communication and Biodiversity Sensing Based on Micro-Doppler Effects by Linta Antony, Nicola Marchetti, Ian Donohue, Adam Narbudowicz

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Performance of a novel computer‐aided diagnosis system in the characterization of colorectal polyps, and its role in meeting Preservation and Incorporation of Valuable Endoscopic I... by Ejaz Hossain, Mohamed Abdelrahim, Andrea Tanasescu, Masayoshi Yamada, Hiroko Kondo, Shijemi Yamada, Ryuji Hamamoto, Atsushi Marugame, Yutaka Saito, Pradeep Bhandari

“…The aim of our study is to perform an external validation of this algorithm. Methods The study was a video‐based evaluation of the computer‐aided diagnosis (CADx) system. …”
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Machine Learning and Metaheuristics Approach for Individual Credit Risk Assessment: A Systematic Literature Review by Álex Paz, Broderick Crawford, Eric Monfroy, José Barrera-García, Álvaro Peña Fritz, Ricardo Soto, Felipe Cisternas-Caneo, Andrés Yáñez

“…It categorizes the use of machine learning algorithms, feature selection methods, and metaheuristic optimization techniques, including genetic algorithms, particle swarm optimization, and biogeography-based optimization. …”
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Uncovering active ingredients and mechanisms of Pholiota adiposa in the treatment of Alzheimer’s disease based on network pharmacology and bioinformatics by Ma Xiaoying, Huo Zhiming, Shi Mingwen, Wang Hong, Yang Tao, Xiao Jun, Gong Na

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AI and consumer behavior: Trends, technologies, and future directions from a scopus-based systematic review by Aditya Nanda Riandhi, Muhammad Rifqi Arviansyah, Mery Citra Sondari

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Pixel-Based Long-Wave Infrared Spectral Image Reconstruction Using a Hierarchical Spectral Transformer by Zi Wang, Yang Yang, Liyin Yuan, Chunlai Li, Jianyu Wang

“…Long-wave infrared (LWIR) spectral imaging plays a critical role in various applications such as gas monitoring, mineral exploration, and fire detection. …”
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A Deep Learning-Based Echo Extrapolation Method by Fusing Radar Mosaic and RMAPS-NOW Data by Shanhao Wang, Zhiqun Hu, Fuzeng Wang, Ruiting Liu, Lirong Wang, Jiexin Chen

“…Furthermore, as the extrapolation time increases, the smoothing effect inherent to convolution operations leads to increasingly blurred predictions. To address the algorithmic limitations of deep learning-based echo extrapolation models, this study introduces three major improvements: (1) A Deep Convolutional Generative Adversarial Network (DCGAN) is integrated into the ConvLSTM-based extrapolation model to construct a DCGAN-enhanced architecture, significantly improving the quality of radar echo extrapolation; (2) Considering that the evolution of radar echoes is closely related to the surrounding meteorological environment, the study incorporates specific physical variable products from the initial zero-hour field of RMAPS-NOW (the Rapid-update Multiscale Analysis and Prediction System—NOWcasting subsystem), developed by the Institute of Urban Meteorology, China. …”
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M-DeepAssembly: enhanced DeepAssembly based on multi-objective multi-domain protein conformation sampling by Xinyue Cui, Yuhao Xia, Minghua Hou, Xuanfeng Zhao, Suhui Wang, Guijun Zhang

“…Results To alleviate the above challenges, we proposed M-DeepAssembly, a protocol based on multi-objective protein conformation sampling algorithm for multi-domain protein structure prediction. …”
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Network attack detection and visual payload labeling technology based on Seq2Seq architecture with attention mechanism by Fan Shi, Pengcheng Zhu, Xiangyu Zhou, Bintao Yuan, Yong Fang

“…Hence, this article introduced a supervised detection algorithm based on benign samples. Seq2Seq algorithm is been chosen and applied to detect malicious web requests. …”
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Enhancing MPPT optimization with hybrid predictive control and adaptive P&O for better efficiency and power quality in PV systems by Benabdallah Naima, Belabbas Belkacem, Tahri Ahmed, Habib Benbouhenni, Bouddou Riyadh, Heroual Samira, Zaidi Sarra, Z. M. S. Elbarbary, Salman Arafath Mohammed

“…The maximum power point tracking (MPPT) strategy based on the perturb and observe (P&O) algorithm is often used to control the inverter. …”
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A novel agent based autonomous and service composition framework for cost optimization of resource provisioning in cloud computing by Aarti Singh, Dimple Juneja, Manisha Malhotra

“…In order to surmount the mentioned shortcomings and perform optimized resource allocation, this research proposes a new Agent based Automated Service Composition (A2SC) algorithm comprising of request processing and automated service composition phases and is not only responsible for searching comprehensive services but also considers reducing the cost of virtual machines which are consumed by on-demand services only.…”
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Signal detection of massive MIMO systems using LSTM-based signal detectors for beyond 5G radio by Arun Kumar, Nishant Gaur, Aziz Nanthaamornphong

“…In this article, we proposed a signal detection algorithm based on a long short-term memory (LSTM) neural network known as MLD-LSTM, MMSE-LSTM, and ZFE-LSTM for MIMO frameworks (16 X 16, 256 X 256, and 512 X 512). …”
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A prediction model based on cfDNA concentration and cfDNA methylation biomarkers for lung cancer detection by Li Ke, Xiang Huang, Wenting Liu, Bo Hong, Hongzhi Wang, Jian Qi, Yannan Chu

“…Abstract Early detection plays a critical role in reducing lung cancer mortality. DNA methylation biomarker assay based on cell-free DNA (cfDNA) is a promising method for early detection of lung cancer. …”
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DMM-YOLO: A high efficiency soil fauna detection model based on an adaptive dynamic shuffle mechanism by Jiehui Ke, Renbo Luo, Guoliang Xu, Yuna Tan, Zhifeng Wu, Liufeng Xiao

“…Therefore, this paper proposes an improved algorithm based on You Only Look Once (YOLO) v9, which enhances feature capture capability while reducing parameters by 33.6%. …”
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Machine learning based screening of biomarkers associated with cell death and immunosuppression of multiple life stages sepsis populations by Jie Yang, Fanyan Ou, Binbin Li, Lixiong Zeng, Qiuli Chen, Houyu Gan, Jianing Yu, Qian Guo, Jihua Feng, Jianfeng Zhang

“…The SHAP algorithm was further used to quantify the contribution of each gene based on cell death features to the prediction of sepsis. …”
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AI based natural inhibitor targeting RPS20 for colorectal cancer treatment using integrated computational approaches by Nouman Ali, Roman Akbar, Amna Saleem, Adeeba Ali, Aamir Ali

“…Abstract The increasing global incidence of cancer emphasizes the vital role of machine learning algorithms and artificial intelligence (AI) in identifying novel anticancer targets and developing new drugs. …”
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AE-BPNN: autoencoder and backpropagation neural network-based model for lithium-ion battery state of health estimation by Abdullah Ahmed Al-Dulaimi, Muhammet Tahir Guneser, Raghad Al-Shabandar, Yeonghyeon Gu, Muhammad Syafrudin, Norma Latif Fitriyani

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