Enhancing NOMA-MEC Based Intelligent Farming: Performance Analysis and HSBOO Optimization by Arulvizhi Mani, Sriharipriya Krishnan Chandrasekaran, Veerapu Goutham

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Speech Enhancement using Greedy Dictionary Learning and Sparse Recovery by K. N. H. Srinivas, I. Santhi Prabha, M. Venugopala Rao

“…The goal of speech denoising is to extract the clean speech signal from as many distorted components as possible. For speech denoising, many researchers worked on sparse representation and dictionary learning algorithms. …”
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A survey on deep learning in UAV imagery for precision agriculture and wild flora monitoring: Datasets, models and challenges by Lorenzo Epifani, Antonio Caruso

“…In this work, we review this literature, with a special focus on algorithms, model sizing, dataset characteristics and innovative technical solutions presented in many domain-specific models, providing the reader with an overview of the research trend in recent years.…”
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A Simple Image Encryption Based on Binary Image Affine Transformation and Zigzag Process by Adélaïde Nicole Kengnou Telem, Cyrille Feudjio, Balamurali Ramakrishnan, Hilaire Bertrand Fotsin, Karthikeyan Rajagopal

“…We tested our algorithms on many biomedical and nonmedical images. …”
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Multidisciplinary Contributions and Research Trends in eHealth Scholarship (2000-2024): Bibliometric Analysis by Lana V Ivanitskaya, Dimitrios Zikos, Elina Erzikova

“…To that end, we analyze evidence from 3 corpora: 10,022 OpenAlex documents with eHealth in the title, the 5000 most relevant eHealth articles according to the Web of Science (WoS) algorithm, and all available (n=1885) WoS eHealth reviews. …”
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Challenges in COVID-19 Pandemic Triaging: An Indian and US Perspective by Muralidhar Varma, Robin Sudandiradas, Mauli Mahendra Patel, Trini Ann Mathew, Marcus Zervos, Shashikiran Umakanth, Asha Kamath, Mahadev Rao, Vandana Kalwaje Eshwara, Chiranjay Mukhopadhyay, Vijaya Arun Kumar

“…<b>Background/Objectives:</b> The COVID-19 pandemic overwhelmed many health care facilities with patients, leading to an increased risk of potential transmission. …”
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Interplay of lung microbiome and epigenetics in former smokers: A machine learning and fuzzy logic approach on COPD progression by Hamidreza Taherkhani, Azadeh Kavianfar, Hossein Lanjanian, Nazanin Hosseinkhan, Mahdieh Salimi, Sajjad Nematzadeh, Mohammad Mehdi Naghizadeh, Sadegh Azimzadeh, Ali Masoudi-Nejad

“…The progression of Chronic Obstructive Pulmonary Disease (COPD) has been shown in many studies to be directly related to changes in epigenetic modification. …”
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Deep learning-assisted analysis of biomarker changes after increase of dosing from aflibercept 2 mg to 8 mg in therapy-resistant neovascular age-related macular degeneration by Siegfried Priglinger, Jakob Siedlecki, Benedikt Schworm, Franziska Eckardt, Michael Hafner, Ben Asani, Caspar Liesenhoff, Alexander Kufner, Johannes Benedikt Schiefelbein

“…Purpose Age-related macular degeneration (AMD) remains the leading cause of blindness in developed countries. There are many different intravitreal anti-vascular endothelial growth factor (VEGF) drugs available for the treatment of neovascular AMD (nAMD). …”
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Indoor Air Wellness: A Predictive Model for Pollution Control Using Advanced AI Techniques by Kalyan Chatterjee, Muntha Raju, Bhoomeshwar Bala, U. Nikitha, Gampala Prabhas, Naim Ahmad, Ayman Qahmash, Wade Ghribi, Bernardo Lemos, Saurav Mallik

“…The model excels in dynamic environments by refining the accuracy of the proposed Kal-ANN algorithm achieving a predictive accuracy of up to 96. 55%, a root mean square error, a Mean Absolute Error, and a Mean Squared Prediction Error as low as 9.85, 6.12, and <inline-formula> <tex-math notation="LaTeX">$3.15~g/m$ </tex-math></inline-formula>. …”
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Exploring the phytochemical profile, antioxidant and anti-inflammatory potential of Bidens pilosa: A Systematic Review by Ekom Monday Etukudo, Ibe Michael Usman, Augustine Oviosun, Vivian Onyinye Ojiakor, Isxaq Abdi Jama, Wusa Makena, Danladi Makeri, Elna Owembabazi, Patrick Maduabuchi Aja, Josiah Ifie, Ilemobayo Victor Fasogbon, Victor Bassey Archibong, Emeka Anyanwu

“…Scopus, PubMed, and Web of Science were searched using the following search algorithm: (“Bidens pilosa”) AND (“antioxidant”) AND (“anti-inflammatory” OR “anti-inflammatory”) on the second of April 2025 without any filters. …”
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Modified Diagnostic Criteria Tools for Familial Hypercholesterolemia without the Requirement for Clinical Genetic Testing: Rationale and Design of the MOOCS Adaptive Clinical Trial by Satyanarayana Upadhyayula

“…This is the bottleneck faced by many research groups, especially while publishing data in scientific journals. …”
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Deterministic and Stochastic Analysis of Fractional-Order Legendre Filter with Uncertain Parameters by Mohammed A. Hassan, Andrew Amgad, Osama H. Galal

“…First, the filter’s order was determined using the provided parameters, then the flower pollination algorithm was used to tune the transfer function parameters. …”
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Interventions designed to increase scholarly activity and achieve promotion among primarily junior clinical faculty in the United States: a scoping review by Heather A. Billings, Ashlee Mills Duffy, Gary L. Beck Dallaghan, Emily J. Glenn, Eric S. Peeples, Matthew R. Sandbulte, Jason F. Shiffermiller, Carrie Valenta, Bethany R. Lowndes, Jana L. Wardian

“…Abstract Background For many U.S. academic physicians, direct patient care is the primary focus of daily work and the most important professional responsibility. …”
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Comparison of UAV-Based LiDAR and Photogrammetric Point Cloud for Individual Tree Species Classification of Urban Areas by Qixia Man, Xinming Yang, Haijian Liu, Baolei Zhang, Pinliang Dong, Jingru Wu, Chunhui Liu, Changyin Han, Cong Zhou, Zhuang Tan, Qian Yu

“…UAV LiDAR and digital aerial photogrammetry (DAP) have shown great performance in forest inventory due to their advantage in three-dimensional information extraction. Many studies have compared their performance in individual tree segmentation and structural parameters extraction (e.g. tree height). …”
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Qualitative changes in clinical records after implementation of pharmacist-led antimicrobial stewardship program: a text mining analysis by Keisuke Sawada, Shuji Kono, Ryo Inose, Yuichi Muraki

“…Abstract Background Antimicrobial stewardship programs (ASPs) are essential for optimizing antimicrobial use, but many medium-sized hospitals lack infectious disease (ID) specialists. …”
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Implementing of infrared camouflage with thermal management based on inverse design and hierarchical metamaterial by Jiang Xinpeng, Yuan Huan, He Xin, Du Te, Ma Hansi, Li Xin, Luo Mingyu, Zhang Zhaojian, Chen Huan, Yu Yang, Zhu Gangyi, Yan Peiguang, Wu Jiagui, Zhang Zhenfu, Yang Junbo

“…Infrared camouflage is an effective technique to avoid many kinds of target detection by detectors in the infrared band. …”
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Implementasi Algoritma Genetika dalam optimasi Performa Truk Sampah Menggunakan Aplikasi Trash Queen by Arief Kelik Nugroho, Muhammad Naufal Faza

“…Trash Queen utilizes genetic algorithm to run simulations repeatedly until an optimal solution is obtained. …”
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Development of the continuous ambulatory vestibular assessment (CAVA) system to provide an automatic diagnosis for vestibular conditions: protocol for a multicentre, single-arm, no... by Lee Shepstone, Louisa Murdin, Peter Rea, Juliet High, Ian Nunney, John S Phillips, Gregory Howard, Stephen J Cox

“…The first objective is to develop an algorithm that can discriminate between the three dizziness conditions listed above. …”
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Experiments on Improving Temperature and Humidity Profile Retrieval for Ground-based Microwave Radiometer by Zhang Xuefen, Wang Zhicheng, Mao Jiajia, Wang Zhangwei, Zhang Dongming, Tao Fa

“…It can detect short-time variation of atmospheric elements. Many studies show that different seasons, different weather conditions, quality control algorithms, and changes in environments have certain effects on retrieval results of MWR. …”
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Immune-related adverse events of neoadjuvant immunotherapy in patients with perioperative cancer: a machine-learning-driven, decade-long informatics investigation by Yuan Meng, Rong Hu, Song-Bin Guo, Deng-Yao Liu, Zhen-Zhong Zhou, Hai-Long Li, Wei-Juan Huang, Xiao-Peng Tian

“…Research on neoadjuvant immunotherapy (NAI) is increasingly focusing on immunotherapy-related adverse events (AEs). However, many unknowns remain in this field. Hence, through the machine learning (ML)-driven informatics analysis, this study aimed to profile the global decade-long scientific landscape of AEs of NAI and further reveal its critical issues and directions that deserve deeper exploration. …”
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