Corn variety identification based on improved EfficientNet lightweight neural network by Jinpu Xu, Jinpu Xu, Jinhao Lan, Guangjie Lv, Dexin Ma

“…The screening of corn ears is an important step in the processing of corn seeds. In order to protect the intellectual property rights of corn varieties and realize intelligent ear screening, this article proposes an improved EfficientNet lightweight model, which uses deep learning technology to classify and identify corn ear images. …”
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Intelligent path planning algorithms for UAVs: Classification, complexity analysis, hybrid ablation insights, and future directions by Dradoum Alaa, Khelassi Abdelmadjid, Lachekhab Fadhila

“…However, controlling UAVs faces significant problems owing to several environmental circumstances and obstacles, making path planning a critical initial step for UAV operation. This paper offers an overview of UAV path planning research founded on intelligent algorithms, which are divided into three categories: computational intelligence (CI), machine learning (ML), and hybrid methods. …”
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Visualization and quantification of coral reef soundscapes using CoralSoundExplorer software. by Lana Minier, Jérémy Rouch, Bamdad Sabbagh, Frédéric Bertucci, Eric Parmentier, David Lecchini, Frédéric Sèbe, Nicolas Mathevon, Rémi Emonet

“…CoralSoundExplorer uses machine learning approaches and is designed to eliminate the need to extract conventional acoustic indices. …”
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Recall Mechanism and Multi-Head Attention for Numerical Reasoning by Linjia Lai, Tien-Ping Tan, Bocan Zeng

“…Although recent approaches have made significant progress in reasoning, two critical issues remain: (1) information tends to be gradually lost as the network deepens due to the complexity of deep learning models, and (2) the performance of multi-step reasoning is suboptimal, leaving room for improvement in accuracy. …”
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Exercise, anxiety, and depression: A theory analysis and evidence synthesis of the exercise and self-esteem model for health professions students by Matthew J. Wright, Virginia L. Valentin

“…To perform the evidence synthesis, PubMed searches were performed between June 2024 to March 2025 for evidence supporting each step of the model as related to health professions students. …”
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English-Polish contrastive grammar at Polish universities by Elżbieta Mańczak-Wohlfeld

“…The 1960’s is considered a further step in the development of contrastive grammar since a number of projects were initiated both in Europe and in the U.S.A. …”
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Multimodal AI-driven object detection with uncertainty quantification for cardiovascular risk assessment in autistic patients by Ling Tang, Chengchao Shen

“…Conventional methods, relying heavily on manually extracted features and rule-based analysis, often fail to capture subtle cardiovascular abnormalities, leading to suboptimal clinical outcomes.MethodsTo address these limitations, we propose an AI-driven object detection framework that leverages advanced deep learning techniques for automated, accurate cardiovascular risk assessment in autistic patients. …”
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Exploring a multi-path U-net with probability distribution attention and cascade dilated convolution for precise retinal vessel segmentation in fundus images by Ruihong Zhang, Guosong Jiang

“…Finally, the output from the dual-path U-Net is processed through a feature refinement module. This step further refines the vessel segmentation by integrating and extracting relevant features. …”
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Harnessing SVM for Sentiment Analysis: Insights from Gojek's Instagram Engagement by Muhammad Juan Savero, Ali Ibrahim, Yadi Utama, Endang Lestari

“…In addition, this analysis can help in predicting real-time customer satisfaction trends through sentiment monitoring on social media. As a development step, this research recommends further exploration with deep learning and Aspect-Based Sentiment Analysis (ABSA) to improve accuracy and understand the service aspects that have the most influence on customer satisfaction.…”
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Consensus artificial intelligence-driven prognostic signature for predicting the prognosis of hepatocellular carcinoma: a multi-center and large-scale study by Wen Wen, Rui Wang

“…The optimized seven-gene CAIPS, constructed using StepCox[both] and GBM, demonstrated superior prognostic accuracy over traditional clinical parameters and 150 published signatures. …”
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Research on series arc fault detection method household loads based on voltage signals by Bin Li, Jiahui Shu, Feifan Cui

“…Then, self-attention is used to perform reinforcement learning on the hidden state vector. Finally, the output results are classified by the fully connected layer. …”
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Teaching Materials for Earth and Space Sciences Courses to Improve students Problem Solving by Ruslan, Meili Yanti, Irmawati M

“…This research type uses the ADDIE learning design model (Analyze, Design, Develop, Implement, and Evaluate). …”
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Accurate identification of primary site in tumors of unknown origin (TUO) using DNA methylation by Drew Duckett, Erica R. Vormittag-Nocito, Pouya Jamshidi, Madina Sukhanova, Stephanie Parker, Daniel J. Brat, Lawrence J. Jennings, Lucas Santana-Santos

“…Overall, the presented TUO classifier represents a significant step forward in the diagnosis of TUO tumors.…”
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IMPROVING PATIENT SAFETY CULTURE (PSC) IN PRIMARY HEALTH CENTERS IN JAMBI PROVINCE by Guspianto Guspianto, Nurlinawati Nurlinawati, Dessy Pramudiani

“…Promoting and assessing patient safety culture is the primary step to minimize and prevent adverse incidents. …”
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Covariate-adjusted construction of gene regulatory networks using a combination of generalized linear model and penalized maximum likelihood. by Omid Chatrabgoun, Alireza Daneshkhah, Parisa Torkaman, Mark Johnston, Nader Sohrabi Safa, Ali Kashif Bashir

“…Many machine learning techniques have been used to construct gene regulatory networks (GRNs) through precision matrix that considers conditional independence among genes, and finally produces sparse version of GRNs. …”
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Energy Consumption Prediction Model for Electric Buses Considering Actual Quantifiable Features by Guowei Zhu, Miao Shi, Jia He

“…Accurate prediction of electric bus energy consumption is a key step to realize the orderly planned charging of electric buses. …”
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Enhanced neurological anomaly detection in MRI images using deep convolutional neural networks by Ahmed Mateen Buttar, Zubair Shaheen, Abdu H. Gumaei, Mogeeb A. A. Mosleh, Mogeeb A. A. Mosleh, Indrajeet Gupta, Samah M. Alzanin, Muhammad Azeem Akbar

“…This model represents an important step toward creating a fully automated system for diagnosing and planning treatment for neurological diseases. …”
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Semantic classification of Indonesian consumer health questions by Raniah Nur Hanami, Rahmad Mahendra, Alfan Farizki Wicaksono

“…Methods This paper proposes a novel two-step approach to address the challenge of semantic type classification in Indonesian consumer health questions. …”
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Can ChatGPT-4 Think Like an Orthopaedic Surgeon? Testing Clinical Judgement and Diagnostic Ability in Pathologies of the Foot and Ankle by Hayden Hartman BS, Maritza D. Essis MD, MS, Wei Shao Tung BS, Irvin Oh MD, Sean C. Peden MD, Arianna Gianakos DO

“…GPT”, using role prompting to encourage step-by-step processing and establish a peer dynamic so that the role of an orthopaedic surgeon was emulated by the chatbot. …”
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DEVELOPMENT OF REFLECTION IN DOCTORS OF PHILOSOPHY AS SUBJECTS OF COMMU- NICATIVE INTERACTION by Lavnikov Oleh

“…Approaches to the technological provision of the development of reflection in doctors of philosophy in the process of solving educational situations are revealed, which covers a step-by-step method with clearly defined stages. …”
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