Deep and Machine Learning for Acute Lymphoblastic Leukemia Diagnosis: A Comprehensive Review by Mohammad Faiz, Bakkanarappa Gari Mounika, Mohd Akbar, Swapnita Srivastava

“…The primary objective of this research is to investigate automated techniques that can be employed to detect ALL at an early stage. This analysis covers both machine learning models (ML), such as support vector machine (SVM) & random forest (RF), as well as deep learning algorithms (DL), including convolution neural network (CNN), AlexNet, ResNet50, ShuffleNet, MobileNet, RNN. …”
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Early arteriovenous malformation mimicking pediatric capillary malformation: diagnostic value of infrared thermography by Hao Gu, Xiaojie Yue, Xiong Zhao, Qiang Shu

“…Integrating IRT into initial diagnostic algorithms may enhance the accuracy of differential diagnosis for vascular malformations, particularly early-stage AVMs.…”
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Discovering and modeling hidden periodicities in science data by Antonio Napolitano, William A. Gardner

“…The popularity stems from the fact that detecting and characterizing periodicities can provide a means for extracting information from science data—information that might not otherwise be accessible. …”
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The role of neural artificial intelligence for diagnosis and treatment planning in endodontics: A qualitative review by Ashwaq F. Asiri, Ahmed Sulaiman Altuwalah

“…Methods: The present research question focused on the literature search about different AI algorithms and models of AI assisted endodontic diagnosis and treatment planning. …”
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An Empirical Evaluation of Supervised Learning Methods for Network Malware Identification Based on Feature Selection by C. Manzano, C. Meneses, P. Leger, H. Fukuda

“…The selected features were used to train the algorithms using binary and multiclass classification. …”
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Diagnosing COVID-19 Infection in Chest X-Ray Images Using Neural Network by Salim M. Zaki, Mustafa Musa Jaber, Mohammed A. Kashmoola

“…It has been shown that X-Ray images are an important method for the identification, quantification, and monitoring of diseases. Deep learning algorithms can be utilized to help analyze potentially huge numbers of X-Ray examinations. …”
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Annotation of Text Corpora by Sentiment and Presence of Irony within a Project of Citizen Science by Ilya Vyacheslavovich Paramonov, Anatoliy Yurievich Poletaev

“…It was also shown that the results of automatic algorithms of detecting the sentiment of sentences improved by 12–13 % when using a corpus for which all the annotators (from 3 till 5) had the agreement, in comparison with a corpus annotated by only one volunteer.…”
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Signal Quality Index Estimator for Complex-Lead type ECG beat detectors by Hintermüller Christoph, Blessberger Hermann, Steinwender Clemens

“…In the past decades various algorithms to detect and delineate ECG beats have been developed. …”
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Prediction and Stage Classification of Pressure Ulcers in Intensive Care Patients by Machine Learning by Mürsel Kahveci, Levent Uğur

“…In particular, the effectiveness of algorithms such as SVM, ANN and KNN in detecting early-stage ulcers is promising in terms of integration into clinical decision support systems. …”
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SEARCH FOR CLINICAL PREDICTORS OF PULMONARY HYPERTENSION IN PATIENTS WITH SYSTEMIC SCLEROSIS by N. A. Klyaus, M. A. Simakova, A. L. Maslyansky, O. M. Moiseeva

“…The scope of investigations necessary to detect PH, the complexity of its diagnostic algorithms for routine use, as well as the impossibility to apply the existing algorithms for all PH variants increase the relevance of searching for novel PH predictors in patients with SSc.Objective: to reveal the relationship of capillary structural changes to the clinical and immunological subtype of SSc, disease activity, and risk for PH.Subjects and methods. …”
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Passive sonar with cylindrical array by J. Marszal, W. Leśniak, R. Salamon, A. Jedel, K. Zachariasz

“…Changing signal processing algorithms in the beamformer is all that is required. …”
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Employing Machine Learning-Based Predictive Analytical Approaches to Classify Autism Spectrum Disorder Types by Muhammad Kashif Hanif, Naba Ashraf, Muhammad Umer Sarwar, Deleli Mesay Adinew, Reehan Yaqoob

“…In this study, different machine and deep learning algorithms were applied to classify the severity of autism spectrum disorder. …”
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OFDM Synchronization Errors and Effects of Phase Noise on WLAN Transceivers by Mourad Melliti, Salem Hasnaoui, Ridha Bouallegue

“…Finally, we propose many algorithms to correct the common phase error (CPE) of the phase noise and track well its variation.…”
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Digitalization of an Industrial Process for Bearing Production by Jose-Manuel Rodriguez-Fortun, Jorge Alvarez, Luis Monzon, Ricardo Salillas, Sergio Noriega, David Escuin, David Abadia, Aitor Barrutia, Victor Gaspar, Jose Antonio Romeo, Fernando Cebrian, Rafael del-Hoyo-Alonso

“…The developments in sensing, actuation, and algorithms, both in terms of Artificial Intelligence (AI) and data treatment, have open up a wide range of possibilities for improving the quality of the production systems in diverse industrial fields. …”
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Investigating the Role of Code Smells in Preventive Maintenance by Junaid Ali Reshi, Satwinder Singh

“…Further, different code smells, derived subjectively through iPlasma, are taken into conjugation and three efficient, but subjective models are developed to detect code smells on each of Random Forest, J48 and SVM machine learning algorithms. …”
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A Model for Automated Business Writing Assessment by Daniil Dmitrievich Zafievsky, Nadezhda Stanislavona Lagutina, Oksana Andreyevna Melnikova, Anatoliy Yurievich Poletaev

“…The algorithms are based on a syntactic analysis with the use of dictionaries. …”
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A novel deep learning approach to identify embryo morphokinetics in multiple time lapse systems by Guillaume Canat, Antonin Duval, Nina Gidel-Dissler, Alexandra Boussommier-Calleja

“…Abstract The use of time lapse systems (TLS) in In Vitro Fertilization (IVF) labs to record developing embryos has paved the way for deep-learning based computer vision algorithms to assist embryologists in their morphokinetic evaluation. …”
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Gene Network Biological Validity Based on Gene-Gene Interaction Relevance by Francisco Gómez-Vela, Norberto Díaz-Díaz

“…Many inference gene network algorithms have been developed as techniques for extracting knowledge from gene expression data. …”
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Sensors Innovations for Smart Lithium-Based Batteries: Advancements, Opportunities, and Potential Challenges by Jamile Mohammadi Moradian, Amjad Ali, Xuehua Yan, Gang Pei, Shu Zhang, Ahmad Naveed, Khurram Shehzad, Zohreh Shahnavaz, Farooq Ahmad, Balal Yousaf

“…The potential for innovation in LiB sensor technology is driven by advancements in nanotechnology, miniaturization, machine learning algorithms, and wireless sensor networks, all of which contribute to enhanced sensor performance. …”
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Using AI in Optimizing Oral and Dental Diagnoses—A Narrative Review by Amelia Surdu, Dana Gabriela Budala, Ionut Luchian, Liliana Georgeta Foia, Gina Eosefina Botnariu, Monica Mihaela Scutariu

“…AI technologies, such as machine learning, deep learning, and computer vision, are increasingly being integrated into dental practice to analyze clinical images, identify pathological conditions, and predict disease progression. By utilizing AI algorithms, dental professionals can detect issues like caries, periodontal disease and oral cancer at an earlier stage, thus improving patient outcomes.…”
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