TransFINN “Transparent Feature Integrated Neural Network for Text Feature Selection and Classification” by Saif Ur Rehman, Ramsha Jat, Muhammad Rafi, Jaroslav Frnda

“…These findings indicate that TransFINN successfully narrows the gap between the prediction capability of artificial neural networks and the explainability needed for applications where the latter becomes paramount. …”
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Les chaînes de restauration entre ancrage local et compétition globale by Pierre-Yves Léo, Jean Philippe

“…The sustained growth of the metropolises is a factor of paramount importance for this activity as it boosts the demand for outhome quality meals. …”
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Application of machine learning in the determination of rock brittleness for CO2 geosequestration by Efenwengbe Nicholas Aminaho, Mamdud Hossain, Nadimul Haque Faisal, Reza Sanaee

“…However, fluid-rock interactions in reservoir and cap rocks before and during CO2 geosequestration alter their mineralogical composition, and consequently, their brittleness index which is paramount in determining the suitability of formations for CO2 geosequestration. …”
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Comparison of Manual and Automated Capillary Morphometry Measurements in Oral Mucosa: A Pilot Study by Salvatore Nigliaccio, Enzo Cumbo, Davide Alessio Fontana, Cesare Fabio Valenti, Domenico Tegolo, Antonino Tocco, Pietro Messina, Giuseppe Alessandro Scardina

“…This pilot study sought to evaluate and compare the performance of an automated method, developed using a neural network trained at the University of Palermo, with a traditional manual method for assessing capillary morphology in the oral mucosa. …”
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Cell cycle- and cancer-associated gene networks activated by Dsg2: evidence of cystatin A deregulation and a potential role in cell-cell adhesion. by Abhilasha Gupta, Daniela Nitoiu, Donna Brennan-Crispi, Sankar Addya, Natalia A Riobo, David P Kelsell, Mỹ G Mahoney

“…Cell-cell adhesion is paramount in providing and maintaining multicellular structure and signal transmission between cells. …”
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Data-driven diabetes mellitus prediction and management: a comparative evaluation of decision tree classifier and artificial neural network models along with statistical analysis by Idris Zubairu Sadiq, Babangida Sanusi Katsayal, Bashiru Ibrahim, Maryam Ibrahim, Hassan Aliyu Hassan, Umar Muhammad Ghali, Abdullahi Garba Usman, Abubakar Usman, Sani Isah Abba

“…This study compares the effectiveness of a Decision Tree Classifier and an Artificial Neural Network (ANN) in predicting Diabetes Mellitus. The Decision Tree Classifier demonstrated superior performance, achieving a 97.7% accuracy rate compared to the ANN’s 94.7%. …”
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Secure Communications Based on Cognitive Multidisciplinary Strategies by Mario La Manna

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Research on the risk contagion of banks holding subordinated debt from the perspective of risk preferences by Shuting Chen, Shanshan Jiang, Yikang Zhuang, Lingyi Meng

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Low power IoT device communication through hybrid AES-RSA encryption in MRA mode by Qiang Chang, Tianqi Ma, Wenzhong Yang

“…Abstract In modern edge scenarios, the security of sensor networks plays a pivotal role in ensuring the safe communication of IoT data. …”
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Extraction of built-up areas using Sentinel-1 and Sentinel-2 data with automated training data sampling and label noise robust cross-fusion neural networks by Yu Li, Patrick Matgen, Marco Chini

“…Up-to-date mapping of built-up areas is of paramount importance for urban planning, environmental monitoring, and disaster management. …”
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Optimizing the Architecture of a Quantum–Classical Hybrid Machine Learning Model for Forecasting Ozone Concentrations: Air Quality Management Tool for Houston, Texas by Victor Oliveira Santos, Paulo Alexandre Costa Rocha, Jesse Van Griensven Thé, Bahram Gharabaghi

“…Keeping track of air quality is paramount to issue preemptive measures to mitigate adversarial effects on the population. …”
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A Power Monitor System Cybersecurity Alarm-Tracing Method Based on Knowledge Graph and GCNN by Tianhao Ma, Juan Yu, Binquan Wang, Maosheng Gao, Zhifang Yang, Yajie Li, Mao Fan

“…Ensuring cybersecurity in power monitoring systems is of paramount importance to maintain the operational safety and stability of modern power grids. …”
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SH17: A dataset for human safety and personal protective equipment detection in manufacturing industry by Hafiz Mughees Ahmad, Afshin Rahimi

“…The necessity for effective Personal Protective Equipment (PPE) compliance has become increasingly paramount. We focus on developing non-invasive techniques based on the Object Detection (OD) and Convolutional Neural Network (CNN). …”
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Multi-Armed Bandit Approaches for Location Planning with Dynamic Relief Supplies Allocation Under Disaster Uncertainty by Jun Liang, Zongjia Zhang, Yanpeng Zhi

“…This research offers valuable guidelines for emergency departments in optimizing the layout and flow of emergency logistics networks.…”
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AI-Driven Ensemble Classifier for Jamming Attack Detection in VANETs to Enhance Security in Smart Cities by Walid El-Shafai, Ahmad Taher Azar, Saim Ahmed

“…This advancement is particularly pertinent in the context of smart city infrastructures, where the safety and efficiency of transportation networks are paramount.…”
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Intent-aware knowledge graph-based model for electrical power material recommendation by Lin Zhao, Ning Luan, Weihua Cheng, Shuming Feng, Hui Wang, Yongcheng Yang, Guixiang Zhu

“…In the field of electrical power material management, it is paramount that users receive accurate recommendations regarding the electrical power materials they require. …”
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Mitigating MAC flooding attacks using port security techniques by Shehu Ibrahim Gajo

“… In today's interconnected digital landscape, network security is paramount, particularly for Local Area Networks (LANs) that are increasingly vulnerable to MAC flooding attacks. …”
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Machine Learning Applications for Predicting Longitudinal Cracking in Continuously Reinforced Concrete Pavement by Ali Alnaqbi, Ghazi G. Al-Khateeb, Waleed Zeiada

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An interpretable deep learning framework for medical diagnosis using spectrogram analysis by Shagufta Henna, Juan Miguel Lopez Alcaraz, Upaka Rathnayake, Mohamed Amjath

“…Convolutional Neural Networks (CNNs) are widely utilized for their robust feature extraction capabilities, particularly in medical classification tasks. …”
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Architecture Migration From Monolithic to Microservices: Developing Readiness Criteria by Pamungkas Imam Habib, Anggara Sawung Murdha, Hariyanto Agus, Suhardi

“…The following criteria are quantified using the Analytic Network Process (ANP), a method within Multi-Criteria Decision Making (MCDM). …”
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