Deep Learning-Based Speech Emotion Recognition Using Multi-Level Fusion of Concurrent Features by Samuel, Kakuba, Alwin, Poulose, Dong, Seog Han, Senior Member, Ieee

“…Acoustic and lexical features were extracted from the interactive emotional dyadic motion capture (IEMOCAP) dataset. The proposed model achieves 75.50% and 75.82% of weighted and unweighted accuracy, 75.32% and 75.57% of recall and F1 score respectively. …”
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The clinical value of computed tomography Hounsfield unit for diagnosing palpable inguinal lymph node metastasis in patients with penile cancer by Yu Li, Yu Chen, Gansheng Xie, Gang Li, Huming Yin

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Ki67 Predicts Progression in Early CIN: Validation of a Multivariate Progression-Risk Model by Arnold-Jan Kruse, Jan P. A. Baak, Emiel A. Janssen, Kjell-Henning Kjellevold, Bent Fianec, Kjell Lovslett, Johan Bergh, Stanley Robboy

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Attention-enhanced optimized deep ensemble network for effective facial emotion recognition by Taimoor Khan, Muhammad Yasir, Chang Choi

“…These preprocessing techniques significantly enhance model performance by expanding the dataset size and refining its quality, thereby improving FER performance. …”
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SHASI-ML: a machine learning-based approach for immunogenicity prediction in Salmonella vaccine development by Ottavia Spiga, Ottavia Spiga, Ottavia Spiga, Anna Visibelli, Francesco Pettini, Bianca Roncaglia, Annalisa Santucci, Annalisa Santucci, Annalisa Santucci

“…The model was trained and validated using a curated dataset of experimentally verified immunogenic and non-immunogenic proteins. …”
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FTO Facilitates Cervical Cancer Malignancy Through Inducing m6A‐Demethylation of PIK3R3 mRNA by Bingxin Chen, Liming Wang, Xiaomin Li, Ci Ren, Chun Gao, Wencheng Ding, Hui Wang

“…Results Based on TCGA‐CESC cohort and GEO dataset, FTO expression levels in HPV‐positive cancer patients were significantly higher than those in HPV‐negative cancer patients and could predict advanced FIGO stage. …”
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Exploring Effects of Mental Stress with Data Augmentation and Classification Using fNIRS by M. N. Afzal Khan, Nada Zahour, Usman Tariq, Ghinwa Masri, Ismat F. Almadani, Hasan Al-Nashah

“…To improve our results and increase our dataset, we use data augmentation with a deep convolutional generative adversarial network (DCGAN). …”
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Evaluation of Preptin and other Biomarkers in Coronary Artery Disease Patients with and without Diabetes Mellitus by Saja T. Yassen, Layla O. Farhan

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Noninvasive Predictors of High-Risk Varices in Patients with Non-Cirrhotic Portal Hypertension by Morven E. Cunningham, Gilda Parastandeh-Chehr, Orlando Cerocchi, David K. Wong, Keyur Patel

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Deep learning based decision-making and outcome prediction for adolescent idiopathic scoliosis patients with posterior surgery by Kai Chen, Xiao Zhai, Ziqiang Chen, Haojue Wang, Mingyuan Yang, Changwei Yang, Yushu Bai, Ming Li

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Outcomes of combined liver-lung transplant in pediatric patients with cystic fibrosis: An ISHLT transplant registry study by Renita Wilson, BS, J. Asher Jenkins, MD, Juan Maria Farina, MD, Blake Langlais, MS, Bashar Aqel, MD, Ashraf Omar, MD, Jonathan D’Cunha, MD PhD, Pedro Reck dos Santos, MD PhD

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The Association between Type 2 Diabetes Mellitus and Thyroid Cancer by Young-Gyun Seo, Ho-Chun Choi, Ah Reum An, Do Joon Park, Young Joo Park, Kyu Eun Lee, Sue K. Park, Yunji Hwang, Belong Cho

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CNN-Based Object Recognition and Tracking System to Assist Visually Impaired People by Fahad Ashiq, Muhammad Asif, Maaz Bin Ahmad, Sadia Zafar, Khalid Masood, Toqeer Mahmood, Muhammad Tariq Mahmood, Ik Hyun Lee

“…For object detection and recognition, a deep Convolution Neural Network (CNN) model is employed with an accuracy of 83.3%, whereas the dataset contains more than 1000 categories. Moreover, a score-based quantitative comparative analysis is performed using the supported features of devices. …”
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Characteristics of velopharyngeal dysfunction in 22q11.2 deletion syndrome: a retrospective case-control study by Sebastiano Failla, Peng You, Chandheeb Rajakumar, Anne Dworschak-Stokan, Philip C. Doyle, Murad Husein

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Analysis of Body Fluid Distribution, Phase Angle and Its Association With Maximal Oxygen Consumption in Facioscapulohumeral Dystrophy: An Observational Study by Oscar Crisafulli, Renato Baptista, Patrik Drid, Luca Grattarola, Giorgio Bottoni, Emanuela Lavaselli, Massimo Negro, Rossella Tupler, Venere Quintiero, Giuseppe D'Antona

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Renin-Angiotensin System Genes Polymorphisms and Essential Hypertension in Burkina Faso, West Africa by Daméhan Tchelougou, Jonas K. Kologo, Simplice D. Karou, Valentin N. Yaméogo, Cyrille Bisseye, Florencia W. Djigma, Djeneba Ouermi, Tegwindé R. Compaoré, Maléki Assih, Virginio Pietra, Patrice Zabsonré, Jacques Simpore

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The use of radar-optical remote sensing data and geographic information system–analytical hierarchy process–multicriteria decision analysis techniques for revealing groundwater rec... by Wang Yuxia, Han Yanzhong, Guo Yujiao, Wang Jingwei, Wang Nana, Abdelkareem Mohamed

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A Cross-Sectional Study Demonstrating Increased Serum Amyloid A Related Inflammation in High-Density Lipoproteins from Subjects with Type 1 Diabetes Mellitus and How This Associati... by Jane McEneny, Jane-Ann Daniels, Anne McGowan, Anjuli Gunness, Kevin Moore, Michael Stevenson, Ian S. Young, James Gibney

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Explainable artificial intelligence with fusion-based transfer learning on adverse weather conditions detection using complex data for autonomous vehicles by Khaled Tarmissi, Hanan Abdullah Mengash, Noha Negm, Yahia Said, Ali M. Al-Sharafi

“…The efficiency of the XAIFTL-AWCDAV method is validated by comprehensive studies using a benchmark dataset. Numerical results show that the XAIFTL-AWCDAV method obtained a superior value of 98.90% over recent techniques.…”
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Design and analysis of a photovoltaic‐powered charging station for plug‐in hybrid electric vehicles in college campus by Sureshbabu, Suresh Padmanabhan, Ganesan Subramanian, Albert Alexander Stonier, Geno Peter, Vivekananda Ganji

“…The solar irradiance data obtained from NASA ground climatology and the solar power dataset of the designated site are used to realise the precise fallouts. …”
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