An Efficient Approach to Mining Maximal Contiguous Frequent Patterns from Large DNA Sequence Databases by Md. Rezaul Karim, Md. Mamunur Rashid, Byeong-Soo Jeong, Ho-Jin Choi

“…In order to reduce mining time and complexity, however, most existing sequence mining algorithms either focus on finding short DNA sequences or require explicit specification of sequence lengths in advance. …”
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A COMPUTATIONAL SYSTEM FOR EVALUATING HUMAN PERCEPTION IN VIDEO STEGANOGRAPHY by Marcin PERY, Robert WASZKOWSKI

“…Experimental results revealed the thresholds of human-level undetectability and automated decoding for each technique, enabling the identification of critical differences between human and algorithmic detection capabilities. This research contributes to the field of steganography by offering a novel framework for evaluating the trade-offs between human perception and automated decoding in video-based information hiding. …”
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D-Wave’s Nonlinear-Program Hybrid Solver: Description and Performance Analysis by Eneko Osaba, Pablo Miranda-Rodriguez

“…The development of advanced quantum-classical algorithms is among the most prominent strategies in quantum computing. …”
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Connections between Robust and Bilevel Optimization by Goerigk, Marc, Kurtz, Jannis, Schmidt, Martin, Thürauf, Johannes

“…We hope that these results pave the way for a stronger connection between the two fields—in particular to use both theory and algorithms from one field in the other and vice versa.…”
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Path Planning Method for UUV Homing and Docking in Movement Disorders Environment by Zheping Yan, Chao Deng, Dongnan Chi, Tao Chen, Shuping Hou

“…It has turned out that, for unimodal functions, NPSO performed better searching accuracy and stability than other algorithms, and, for multimodal functions, the performance of NPSO is similar to TVAC. …”
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A lightweight and precision dual track 1D and 2D feature fusion convolutional network for machinery equipment fault diagnosis by Chaoquan Mo, Ke Huang, Houxin Ji

“…Experimental validation shows that this method exhibits faster convergence, higher diagnostic accuracy, and good robustness and generalization performance on two different datasets, outperforming other advanced algorithms.…”
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MoNetViT: an efficient fusion of CNN and transformer technologies for visual navigation assistance with multi query attention by Liliek Triyono, Liliek Triyono, Rahmat Gernowo, Prayitno

“…Experiments show MoNetViT outperforms other semantic segmentation algorithms in efficiency and effectiveness, particularly in detecting Aruco markers, making it a promising tool to improve navigation aids for the visually impaired.…”
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Challenges and opportunities with ChatGPT in oral oncology: The journey ahead by Ribwar Arsalan Mohammed, Sirwan Khalid Ahmed

“…However, challenges such as ethical considerations regarding patient privacy, data security, and biases in AI algorithms require careful attention. Adequate support in terms of infrastructure and training is crucial for the successful integration of ChatGPT into clinical practice. …”
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Guidance Navigation and Control for Autonomous Multiple Spacecraft Assembly: Analysis and Experimentation by Riccardo Bevilacqua, Marcello Romano, Fabio Curti, Andrew P. Caprari, Veronica Pellegrini

“…Each spacecraft runs symmetric algorithms. The relative navigation is based on augmenting the target's state vector by introducing, as extra state components, the target's control inputs. …”
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From Backtracking To Deep Learning: A Survey On Methods For Solving Constraint Satisfaction Problems by Fatima AIT HATRIT, Kamal AMROUN

“…To address this, extensive research has been conducted, leading to the development of effective techniques and algorithms for different types of CSPs, ranging from exhaustive search methods, which explore the entire search space, to modern techniques that use deep learning to learn how to solve CSPs. …”
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Unified Fingerprinting/Ranging Localization in Harsh Environments by Javier Prieto, Juan F. De Paz, Gabriel Villarrubia, Fernando De la Prieta, Juan M. Corchado

“…Such framework is conceived from the Bayesian perspective that facilitates the specification of recursive algorithms for real-time operation. In comparison to conventional implementations, we assessed the proposed framework in an indoor scenario with measurements gathered by commercial devices. …”
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Comparative study on the drying mechanisms and characteristic changes of fabrics according to heat transfer principles by Jiyul Lee, Jaeyong Cho, Suhyun Lee

“…The findings of this study are expected to help develop automatic drying algorithms for household dryers.…”
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Facial Recognition Databases: Recent Developments and Review of Methods by Waleed Ayad, Siraj Qays, Asanka G. Perera, Ali Al-Naji

“…There is a fundamental relationship between the development of facial recognition algorithms and the possibility of the existence of databases of different faces that influence the appearance of the face in a constrained manner. …”
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An Improved Stochastic Configuration Networks With Compact Structure and Parameter Adaptation by Sanyi Li, Hongyu Guan, Peng Liu, Weichao Yue, Qian Wang

“…In addition, experimental results using baseline datasets and UCI databases show that the number of nodes required for oscn is reduced by approximately 50% and the computation time is reduced by approximately 40% compared to traditional algorithms.…”
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Complexity Analysis of a Mixed Memristive Chaotic Circuit by Xiaolin Ye, Jun Mou, Chunfeng Luo, Feifei Yang, Yinghong Cao

“…By using spectral entropy (SE) and C0 complexity algorithms, the dynamic characteristics of the system were analyzed. …”
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A novel lightweight Machine Learning framework for IoT malware classification based on matrix block mean Downsampling by Mahmoud E. Farfoura, Ibrahim Mashal, Ahmad Alkhatib, Radwan M. Batyha, Didi Rosiyadi

“…The framework is based on novel feature extraction technique; the Matrix Block Mean Downsampling (MBMD), and various machine learning algorithms are implemented. The experiments carried out on BODMAS dataset show the superiority of the proposed approach in detecting IoT malware with an F1-score of more than 99%.…”
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Historical perspective and opportunity for computing in memory using floating-gate and resistive non-volatile computing including neuromorphic computing by Jennifer Hasler, Arindam Basu

“…A historical perspective for illustrating FG and memristor/RRAM devices enables comparison of nonvolatile storage (addressing issues related to resolution, lifetime, endurance etc), feedforward computation (different variants of vector matrix multiplication, tradeoffs between power dissipation and signal to noise ratio etc), programming (addressing issues of selectivity, peripheral circuits, charge trapping etc), and learning algorithms (continuous time LMS or batch update), in these systems. …”
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Incremental Bilateral Preference Stable Planning over Event Based Social Networks by Boyang Li, Yurong Cheng, Guoren Wang, Yongjiao Sun

“…We conduct extensive experiments to verify the efficiency and effectiveness of the proposed algorithms.…”
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Output-Only Modal Analysis Based on Improved Empirical Mode Decomposition Method by Shiqiang Qin, Qiuping Wang, Juntao Kang

“…The modal parameters extracted based on the improved EMD method show good agreement with those extracted by conventional modal identification algorithms.…”
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Precision Security: Integrating Video Surveillance with Surrounding Environment Changes by Wenfeng Wang, Xi Chen, Guiwei Zhang, Jing Qian, Peng Wei, Boqian Wu, Hongwei Zheng

“…Imbedding proposed models into the online algorithms is suggested as a future research priority towards precision security for critical applications and, furthermore, schemes for a practical implementation of such integration are also preliminarily discussed.…”
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