Improving the explainability of CNN-LSTM-based flood prediction with integrating SHAP technique by Hao Huang, Zhaoli Wang, Yaoxing Liao, Weizhi Gao, Chengguang Lai, Xushu Wu, Zhaoyang Zeng

“…However, deep learning algorithms are difficult to explain, like a “black box” that lacks insight. …”
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Fuzzy Optimized Attention Network with Multi-Instance Deep Learning (FOAN-MIDL) for Alzheimer’s Disease Diagnosis with Structural Magnetic Resonance Imaging (sMRI) by Afnan M. Alhassan, Nouf I. Altmami

“…However, improving the recognition of discriminative characteristics is the primary difficulty in diagnosis utilizing sMRI. …”
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Contact prediction is hardest for the most informative contacts, but improves with the incorporation of contact potentials. by Jack Holland, Qinxin Pan, Gevorg Grigoryan

“…Recently, several methods, such as direct-coupling analysis (DCA) and MetaPSICOV, have been shown to achieve impressive rates of contact prediction by taking advantage of considerable sequence data. …”
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The Study of Roadside Visual Perception in Internet of Vehicles Based on Improved YOLOv5 and CombineSORT by LI Xiaohui, YANG Jie, XIA Qin

“…But in practice, it is difficult to achieve both optimal detection accuracy and computational efficiency simultaneously due to limited computing resources. …”
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Analysis and Tracking of Intra-Needle Ultrasound Pleural Signals for Improved Anesthetic Procedures in the Thoracic Region by Fu-Wei Su, Chia-Wei Yang, Ching-Fang Yang, Yi-En Tsai, Wei-Nung Teng, Huihua Kenny Chiang

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Efficient Task Scheduling in Cloud Computing: A Multiobjective Strategy Using Horse Herd–Squirrel Search Algorithm by V. Parthasaradi, A. Karunamurthy, C. H. Hussaian Basha, S. Senthilkumar

“…Cloud computing (CC) is a technology that enables the delivery of IT services outside of the workplace. CC, on the other hand, has had several drawbacks. …”
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Incorporating echo state network and sand cat swarm optimization algorithm based on quantum for named entity recognition by Fang Huang, Baocheng Wang, Jafar Safarzadeh

“…This aids in activities like information retrieval (for instance, locating pertinent documents), building knowledge graphs (such as connecting entities to establish relationships), and streamlining workflows (like summarizing news or extracting data for databases).…”
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Eccentricity Parameters Identification for a Motorized Spindle System Based on Improved Maximum Likelihood Method by Wengui Mao, Chaoliang Hu, Jianhua Li, Zhonghua Huang, Guiping Liu

“…At the same time, due to the geometric characteristics of the electrospindle system, the material factors and the randomness of the measurement response, these uncertain factors, even in a small case, are likely to cause large deviations in the eccentricity recognition results. …”
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A novel framework for sentiment classification employing Bi-GRU optimized by enhanced human evolutionary optimization algorithm by Xi Wang, Samad Nourmohammadi

“…To do so, this paper conducted two different word embedding models, namely GloVe and Word2Vec, for vectorization. …”
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A Learning Probabilistic Boolean Network Model of a Manufacturing Process with Applications in System Asset Maintenance by Pedro Juan Rivera Torres, Chen Chen, Sara Rodríguez González, Orestes Llanes Santiago

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Active Touch Sensing for Robust Hole Detection in Assembly Tasks by Bojan Nemec, Mihael Simonič, Aleš Ude

“…In this paper, we propose an active touch sensing algorithm designed for robust hole localization in 3D objects, specifically aimed at assembly tasks such as peg-in-hole operations. …”
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Optimizing pyrolysis and Co-Pyrolysis of plastic and biomass using Artificial Intelligence by Manish Sharma Timilsina, Yuvraj Chaudhary, Prikshya Bhattarai, Bibek Uprety, Dilip Khatiwada

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Optimal feature selection and invasive weed tunicate swarm algorithm-based hierarchical attention network for text classification by Gunjan Singh, Arpita Nagpal, Vijendra Singh

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Enhanced hybrid pre-coding and power allocation algorithms for smart irrigation systems using OFDM-based WSNs. by Emad S Hassan

“…By exploiting the channel's frequency selectivity, the power allocation algorithms adjust the modulation type and power distribution for each sub-carrier dynamically. …”
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Research on Motion Transfer Method from Human Arm to Bionic Robot Arm Based on PSO-RF Algorithm by Yuanyuan Zheng, Hanqi Zhang, Gang Zheng, Yuanjian Hong, Zhonghua Wei, Peng Sun

“…To surmount this limitation, this study designed five action sequences for the establishment of the training database for the PSO-RF model to predict joint angles when performing different actions. …”
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Enhanced Localization in Wireless Sensor Networks Using a Bat-Optimized Malicious Anchor Node Prediction Algorithm by Balachandran Nair Premakumari Sreeja, Gopikrishnan Sundaram, Marco Rivera, Patrick Wheeler

“…The integrity of these networks is often threatened by the presence of malicious nodes that can disrupt the localization process, leading to erroneous positioning and degraded network functionality. …”
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Ethical and regulatory challenges in machine learning-based healthcare systems: A review of implementation barriers and future directions by Shehu Mohammed, Neha Malhotra

“…Machine learning significantly enhances clinical decision-making quality, directly impacting patient care with early diagnosis, personalized treatment,  and predictive analytics. …”
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Enhancing power system stability by coordinating a wind turbine voltage regulator and lead-lag power system stabilizer using GOOSE optimization by Nader M. A. Ibrahim, Attia A. El-Fergany, Bassam A. Hemade

“…Abstract Integrating wind energy into power systems can negatively impact stability by reducing oscillation damping. Wind Turbine Voltage Regulators (WT VRs) are designed to manage reactive power and maintain voltage stability; however, they often do not coordinate effectively with Power System Stabilizers (PSS) from synchronous generators (SG). …”
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Binary Classification of Pneumonia in Chest X-Ray Images Using Modified Contrast-Limited Adaptive Histogram Equalization Algorithm by Abror Shavkatovich Buriboev, Akmal Abduvaitov, Heung Seok Jeon

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Mean Field Initialization of the Annealed Importance Sampling Algorithm for an Efficient Evaluation of the Partition Function Using Restricted Boltzmann Machines by Arnau Prat Pou, Enrique Romero, Jordi Martí, Ferran Mazzanti

“…The procedures presented are not linked to any learning process, and therefore do not require a priori knowledge of a training dataset.…”
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