Abnormal Respiratory Sounds Classification Using Deep CNN Through Artificial Noise Addition by Rizwana Zulfiqar, Fiaz Majeed, Rizwana Irfan, Hafiz Tayyab Rauf, Elhadj Benkhelifa, Abdelkader Nasreddine Belkacem

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Dynamic Impact-Based Heavy Rainfall Warning with Multi-classification Machine Learning Approaches by Anand Shankar

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A comprehensive analysis of deep learning and transfer learning techniques for skin cancer classification by Manishi Shakya, Ravindra Patel, Sunil Joshi

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Deep learning for the classification of atrial fibrillation using wavelet transform-based visual images by Ling-Chun Sun, Chia-Chiang Lee, Hung-Yen Ke, Chih-Yuan Wei, Ke-Feng Lin, Shih-Sung Lin, Hsin Hsiu, Ping-Nan Chen

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Mining versatile feruloyl esterases: phylogenetic classification, structural features, and deep learning model by Liang Guo, Yuxin Dong, Deyong Zhang, Xinrong Pan, Xinjie Jin, Xinyu Yan, Yin Lu

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Enhanced hybrid attention deep learning for avocado ripeness classification on resource constrained devices by Sumitra Nuanmeesri

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Brain Tumor Detection and Classification Using IFF-FLICM Segmentation and Optimized ELM Model by Suvashisa Dash, Mohammed Siddique, Satyasis Mishra, Demissie J. Gelmecha, Sunita Satapathy, Davinder Singh Rathee, Ram Sewak Singh

“…The proposed MHS-SCA-based ELM model achieved a sensitivity, specificity, and accuracy of 98.78%, 99.23%, and 99.12%. The classification performance results of the proposed MHS-SCA-ELM model are compared with MHS-ELM, SCA-ELM, and PSO-ELM models, and the comparison results are presented.…”
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Optimized Naive-Bayes and Decision Tree Approaches for fMRI Smoking Cessation Classification by Amirhessam Tahmassebi, Amir H. Gandomi, Mieke H. J. Schulte, Anna E. Goudriaan, Simon Y. Foo, Anke Meyer-Baese

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Considerations and Challenges for Acute Inhalation Toxicity Testing and Classification of Zinc Sulphide Under REACH by Gustav Gerd Bruer, Noömi Lombaert, Arne Burzlaff, Christine Spirlet, Daria Gödecke, Mehmet Ramazanoglu, Otto Creutzenberg

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Cayley–Purser secured communication and jackknife correlative classification for COVID patient data analysis by Ramesh Sekaran, Ashok Kumar Munnangi, Manikandan Ramachandran, Mohammad Khishe

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Classification and prognostic evaluation of ameloblastoma using multiplanar CT imaging: a retrospective analysis by Jo-Eun Kim, Jun-Bum Cho, Won-Jin Yi, Min-Suk Heo, Sam-Sun Lee, Kyung-Hoe Huh

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Cognitive load detection through EEG lead wise feature optimization and ensemble classification by Jammisetty Yedukondalu, Kalyani Sunkara, Vankayalapati Radhika, Sivakrishna Kondaveeti, Murali Anumothu, Yadadavalli Murali Krishna

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Selective Ensemble Learning Method for Belief-Rule-Base Classification System Based on PAES by Wanling Liu, Weikun Wu, Yingming Wang, Yanggeng Fu, Yanqing Lin

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Classification of Emerging Scoliosis in Congenital Scoliosis After Hemivertebra Resection and Short Segmental Fusion by Chenkai Li, Xiaohan Ye, Bingtai Han, You Du, Yiwei Zhao, Dihan Sun, Shengru Wang, Jianguo Zhang

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Compilation and functional classification of telomere length-associated genes in humans and other animal species by E. V. Ignatieva, N. S. Yudin, D. M. Larkin

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Fully automated segmentation and classification of renal tumors on CT scans via machine learning by Jang Hee Han, Byung Woo Kim, Taek Min Kim, Ji Yeon Ko, Seung Jae Choi, Minho Kang, Sang Youn Kim, Jeong Yeon Cho, Ja Hyeon Ku, Cheol Kwak, Young-Gon Kim, Chang Wook Jeong

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Anticancer Peptides Classification Using Long-Short-Term Memory With Novel Feature Representation by Nazer Al Tahifah, Muhammad Sohail Ibrahim, Erum Rehman, Naveed Ahmed, Abdul Wahab, Shujaat Khan

“…This work presents a novel set of features and a long-short-term-memory (LSTM)-based classification strategy to create an efficient model. …”
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Network analysis of headache diagnoses using international classification of headache disorders, 3rd edition by Pengfei Zhang, Thomas Berk, Thomas Berk

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Integrating Drone Truthing and Functional Classification of Remote Sensing Time Series for Supervised Vegetation Mapping by Giacomo Quattrini, Simone Pesaresi, Nicole Hofmann, Adriano Mancini, Simona Casavecchia

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Classification of Different Blueberry Cultivars by Analysis of Physical Factors, Chemical and Nutritional Ingredients, and Antioxidant Capacities by Juan Song, Qiong Shi, Si-Min Yan, Hai-Yan Fu, Si-Zhan Wu, Lu Xu

“…Using the autoscaled data of quality factors, unsupervised principal component analysis was performed for exploratory analysis of intercultivar differences and the influences of quality factors. A supervised classification method, partial least squares discriminant analysis (PLSDA), was combined with the global particle swarm optimization algorithm (PSO) and two multiclass strategies, one-versus-rest (OVR) and one-versus-one (OVO), to select discriminative quality factors and develop classification models of the 12 cultivars. …”
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