Software Effort Estimation Using Multi Expression Programming by Najla Al-Saati, Taghreed Alreffaee

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RICE AlgebraBot: Lessons learned from designing and developing responsible conversational AI using induction, concretization, and exemplification to support algebra learning by Chenglu Li, Wanli Xing, Yukyeong Song, Bailing Lyu

“…Specifically, we first examined computational strategies to mitigate the ethical concerns of ConvAI in educational setting with educational big data (npretraining = 2,097,139) and found that researchers could effectively enhance ConvAI responsibility through the investigated algorithmic strategies. …”
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Federated learning for digital twin applications: a privacy-preserving and low-latency approach by Jie Li, Dong Wang

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Leveraging Graph Neural Networks for IoT Attack Detection by Mevlüt Uysal, Erdal Özdoğan, Onur Ceran

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A New Method to Convert the DNA Sequence of Human to a QR Code by Sadoon Abdullah, Zahraa Abdulhamid

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A fear detection method based on palpebral fissure by Rawinan Praditsangthong, Bhattarasiri Slakkham, Pattarasinee Bhattarakosol

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Local differential privacy-based frequent sequence mining by Teng Wang, Zhi Hu

“…Due to the high-dimensionality of sequence data, directly applying LDP on FSM faces severe challenges such as heavy perturbation, waste of privacy budget, poor accuracy, and high computational costs. …”
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Support vector neural network based fuzzy hybrid filter for impulse noise identification and removal from gray-scale image by Sagenela Vijaya Kumar, C. Nagaraju

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FedAware: a distributed IoT intrusion detection method based on fractal shrinking autoencoder by Keyuan Qiu, Meifang Yan, Tao Luo, Feng Chen

“…If the data from all devices is uploaded to a central server for centralised learning, it will not only face the pressure of computation and storage, but may also trigger the risk of privacy leakage. …”
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Multimodal image fusion for ich detection and classification using parallel Dl models by Sri Sangepu Nagaraju, S. Prince Mary, V. Pavani Chandra, Nandam Gayatri

“…Multimodality image fusion techniques can help incorporate different types of images into a single, high-quality image, but current methods face challenges like fusion artefacts, complex design, and high computational costs. …”
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Resilient service function chain initial deployment and dynamic replacement towards 6G networks by Deqiang Zhou, Xinsheng Ji, Wei You, Yu Zhao, Hang Qiu, Mingyan Xu

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ANFIS Models with Subtractive Clustering and Fuzzy C-Mean Clustering Techniques for Predicting Swelling Percentage of Expansive Soils by Mehdi Hashemi Jokar, Ali Heidaripanah

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Improving Accuracy and Calibration of Deep Image Classifiers With Agreement-Driven Dynamic Ensemble by Pedro Conde, Rui L. Lopes, Cristiano Premebida

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Green cover change detection using a modified adaptive ensemble of extreme learning machines for North-Western India by Madhu Khurana, Vikas Saxena

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Efficient quantum circuit research and implementation for 16-bit S-boxes based on composite field by Lei Zhang, Guoyuan Li, Jingchen Dai, Ruipeng Hong, Chaoen Xiao, Jianxin Wang, Yifan Zhang

“…Abstract With the development of quantum computing technology, efficiently implementing the core component S-box of block ciphers in quantum environments has become an important research direction in the field of cryptographic engineering. …”
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NMD-FusionNet: a multimodal fusion-based medical imaging-assisted diagnostic model for liver cancer by Qing Ye, Minghao Luo, Jing Zhou, Chunlei Cheng, Lin Peng, Jia Wu

“…Abstract Liver cancer is a malignant tumor with high incidence and mortality rates. Computed tomography is a key imaging modality for clinical diagnosis but faces challenges such as subtle intra-class variations and the inefficiency of manual interpretation. …”
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Fast and Accurate Direct Position Estimation Using Low-Complexity Correlation and Swarm Intelligence Optimization by Yuze Duan, Zuping Tang, Jiaolong Wei, Jie Sun, Kaixian Ying

“…However, existing DPE algorithms face significant challenges due to the non-convex nature of the optimization problem and the large solution space, resulting in high computational complexity. …”
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5G OFDM channel estimation method based on complex-valued generative adversarial network by LU Yuanzhi, WEI Xianglin, YU Long, YAO Changhua

“…Channel estimation methods based on least square (LS) and minimum mean square error (MMSE) effectively utilize the system’s sparsity, but LS algorithms face low computational precision, while MMSE algorithms suffer from high computational complexity. …”
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Popularity Bias in Recommender Systems: The Search for Fairness in the Long Tail by Filippo Carnovalini, Antonio Rodà, Geraint A. Wiggins

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Enhanced leukemia prediction using hybrid ant colony and ant lion optimization for gene selection and classification by Santhakumar D, Gnanajeyaraman Rajaram, Elankavi R, Viswanath J, Govindharaj I, Raja J

“…To address these issues, this work introduces a hybrid ACO-ALO method, combining the strengths of both algorithms. The proposed hybrid approach enhances feature selection by improving accuracy, reducing computational complexity, and boosting classifier performance. …”
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