An Ensemble Learning Framework with Explainable AI for interpretable leaf disease detection by Mohammad Rifat Ahmmad Rashid, Md. AL Ehtesum Korim, Mahamudul Hasan, Md Sawkat Ali, Mohammad Manzurul Islam, Taskeed Jabid, Raihan Ul Islam, Maheen Islam

“…To address this challenge, we present an Ensemble Learning Framework with Explainable AI (XAI) tailored to disease detection, using cucumber leaf diagnosis as a key use case. …”
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Mo.Se.: Mosaic image segmentation based on deep cascading learning by Andrea Felicetti, Marina Paolanti, Primo Zingaretti, Roberto Pierdicca, Eva Savina Malinverni

“…The final purpose is to define a workflow which establishes the steps to perform a robust segmentation and obtain a digital (vector) representation of a mosaic. …”
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Efficient sepsis detection using deep learning and residual convolutional networks by Ahmed S. Almasoud, Ghada Moh Samir Elhessewi, Munya A. Arasi, Abdulsamad Ebrahim Yahya, Menwa Alshammeri, Donia Badawood, Faisal Mohammed Nafie, Mohammed Assiri

“…The system comprises four crucial steps: First, the enhanced convolutional learning framework (ECLF) with atrous convolutional and multi-level strategies that aim to learn high-level features from the nonlinear mapping of the medical data. …”
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Automating tephra fall building damage assessment using deep learning by E. Tennant, S. F. Jenkins, V. Miller, R. Robertson, B. Wen, S.-H. Yun, B. Taisne

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Evaluation of the Deep Q-Learning Models for Mobile Robot Path Planning Problem by Mehmet Gök

“…We implemented the approach by using Python programming language two steps: inference and evaluation. Inference step gathers information of path planning performance; evaluation step computes the metrics regarding the information. …”
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Bayesian Structure Learning and Sampling of Bayesian Networks with the R Package BiDAG by Polina Suter, Jack Kuipers, Giusi Moffa, Niko Beerenwinkel

“…A new hybrid approach to structure learning enables inference in large graphs. In the first step, we define a reduced search space by means of the PC algorithm or based on prior knowledge. …”
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Accessible interactive learning of missing-digit arithmetic problems for students with visual disabilities by Amjad Ali, Shah Khusro, Shabbab Ali Algamdi

“…The algorithm systematically identifies missing digits and provides step-by-step audio instructions, ensuring adherence to mathematical principles and pedagogical standards. …”
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Investigating the effectiveness of an intraoperative decision support guided fluid therapy intervention on postoperative outcome of high-risk patients undergoing high-risk abdomina... by Sean Coeckelenbergh, Amelie Delaporte, Damien Rousseleau, Jacques De Montblanc, Stephanie Roullet, Joanna Ramadan, Bernard Cholley, Alexandre Stibon, Emmanuel Weiss, Maria-Christina Kassab, Sylvain Diop, Elsa Manzi, Marco Pustetto, Guillaume Porta Bonette, Pierre Gregoire Guinot, Philippe Guerci, Domien Vanhonacker, Francois Martin Carrier, Brenton Alexander, Joseph Rinehart, David Boldt, Tristan Grogan, Maxime Cannesson, Jacques Duranteau, Lamiae Grimaldi, Bruno Pereira, Alexandre Joosten

“…The goal of this international multicentre stepped-wedge cluster randomised trial is to test whether implementing AFM during high-risk surgery improves patient outcome. …”
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Internet of Things-Based Smart Infant-Incubators Using Machine Learning Analysis by Mahmoud Gamal, Ibrahim Radi, Amr Yousef, and Ali Gaber Mohamed Ali

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Predictive Technology Assessment by Means of a Structure-Based Method of Machine Learning by Manja Mai-Ly PFAFF, Uwe FRIEß, Andreas OTTO, Matthias PUTZ

“…Using these adaptive structure-based segmentations is the first step to interpret data sets of new production systems without the need for complex pre-configuration.…”
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Physics-informed deep learning with Kalman filter mixture for traffic state prediction by Niharika Deshpande, Hyoshin (John) Park

“…We propose an innovative approach to modifying both prediction and correction steps of the Kalman filter (KF) algorithm by leveraging established spatiotemporal correlations. …”
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Developing new machine-learning intelligent models to predict the excavation-tunnel displacements by Abdollah Tabaroei, Muhand Jawad Jasim, Ali Mohammed Al-Araji, Amir Hossein Vakili

“…In the first step, a three-dimensional (3D) finite-element (FE) model validate against case stories. …”
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Automatic summarization of cooking videos using transfer learning and transformer-based models by P. M. Alen Sadique, R. V. Aswiga

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Vision-Based American Sign Language Classification Approach via Deep Learning by Nelly Elsayed

“…In this paper, we proposed a simple deep learning model that aims to classify the American Sign Language letters as a step in a path for removing communication barriers that are related to disabilities.…”
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Mobile learning in the implementation of educational programs for training at the tertiary level: The national aspect by Tetyana Sobchenko, Svitlana Dotsenko, Natalia Smolianiuk

“…Students consider freedom of movement, the extent of participation in learning initiatives, prompt communication between participants, the environment for the formation of information and digital literacy, clear step-by-step instructions, and dynamic communication to be important conditions for the effectiveness of mobile learning. …”
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Hybrid Attention-based Deep Learning Network For Emotion Recognition by ECG Signal by Mahtab Vaezi, Mehdi Nasri, Farhad Azimifar, Mahdi Mosleh

“…The ECG signal available in the DREAMER database has been used to recognize emotions because of the high correlation of this signal with emotions and easy recording. First step for valence and arousal recognition, the ECG signal is entered into the deep learning network, which is a combination of CNN and LSTM. …”
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Medical decision support systems for diagnosing diseases based on ensemble learning algorithms by Luma Jarallah

“…Diagnosing diseases in humans is the first step in treating diseases, and knowing it is important to determine treatment and deal with the disease in the correct way. …”
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INVESTIGATING STUDENTS’ CRITICAL THINKING SKILL IN CHEMICAL EQUILIBRIUM USING THE DISCOVERY LEARNING by Fajarisma Izzatul Nadia, Endang Widjajanti Laksono

“…Face content and construct validity conducted as initial step in developing the instrument before the test was used to measure students’ critical thinking skill toward the research sample. …”
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Caring, learning, improving quality and doing research: Different faces of the same process by G.J.O. Marincowitz, G.S. Fehrsen

“…Learning to understand the different processes becomes easier, as they have a lot in common. …”
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Machine Learning Model for Early Detection of COVID-19 by Heart Rhythm Abnormalities by M. S. Mezhov, V. O. Kozitsin, Iu. D. Katser

“…The case in hand was a rhythm strip with a time series of observations taken in one continuous time interval from one person. A step-by-step process of obtaining averaged metric values for each model was described. …”
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