A Novel Bioinspired Vision System: A Step toward Real-Time Human-Robot Interactions by Abdul Rahman Hafiz, Fady Alnajjar, Kazuyuki Murase

“…Building a human-like robot that could be involved in our daily lives is a dream of many scientists. …”
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Solving non-binary constraint satisfaction problems using GHD and restart. by Fatima AIT HATRIT, Kamal AMROUN, Professor

“…However, like all structural decomposition methods, FC-GHD+NG+DR depends on the order in which the clusters are processed. …”
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A robust approach to satellite image encryption using chaotic map and circulant matrices by Shamsa Kanwal, Saba Inam, Asghar Ali Shah, Halima Iqbal, Anas Bilal, Muhammad Usman Hashmi, Raheem Sarwar

“…The experiment results demonstrate the proposed image encryption scheme's reliability, practicability, and efficiency in securing satellite images during data storage and transmission. …”
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Quantifying the Impact of Multiple Factors on Air Quality Model Simulation Biases Using Machine Learning by Chunying Fan, Ruilin Wang, Ge Song, Mengfan Teng, Maolin Zhang, Huangchuan Liu, Zhujun Li, Siwei Li, Jia Xing

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Mining patterns of comorbidity evolution in patients with multiple chronic conditions using unsupervised multi-level temporal Bayesian network. by Syed Hasib Akhter Faruqui, Adel Alaeddini, Carlos A Jaramillo, Jennifer S Potter, Mary Jo Pugh

“…Using a de-identified dataset of more than 250,000 patients receiving care from the U.S. …”
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Generalised Adaptive Harmony Search: A Comparative Analysis of Modern Harmony Search by Jaco Fourie, Richard Green, Zong Woo Geem

“…Many variants of HS were developed to address some of these flaws, and most of them have made substantial improvements. …”
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Advances in vegetation mapping through remote sensing and machine learning techniques: a scientometric review by Charles Matyukira, Paidamwoyo Mhangara

“…Key journals, including “Remote Sensing,” and conferences like IGARSS, play pivotal roles in disseminating findings. …”
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Reconstructing the regulatory programs underlying the phenotypic plasticity of neural cancers by Ida Larsson, Felix Held, Gergana Popova, Alper Koc, Soumi Kundu, Rebecka Jörnsten, Sven Nelander

“…Abstract Nervous system cancers exhibit diverse transcriptional cell states influenced by normal development, injury response, and growth. …”
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A New Approach to ORB Acceleration Using a Modern Low-Power Microcontroller by Jorge Aráez, Santiago Real, Alvaro Araujo

“…This problem has commonly been solved by delegating this task to hardware-accelerated solutions like FPGAs or ASICs. …”
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Assessing the predictive power of immune microenvironment-related genes and clinical immune-inflammatory parameters in breast cancer by Shangyi Lu, Shun Liang, Fucai Chen, Jianyuan Meng, Junwei Chen, Yi Lu, Gangjian Zhu

“…Clinical immune – inflammatory markers like NLR, LMR, PLR, and SII correlated with 5 – year disease-free survival (DFS) in BC patients. …”
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Predictive Model for Erosion Rate of Concrete Under Wind Gravel Flow Based on K-Fold Cross-Validation Combined with Support Vector Machine by Yanhua Zhao, Kai Zhang, Aojun Guo, Fukang Hao, Jie Ma

“…Ultimately, the SVM algorithm is highly effective in developing a reliable prediction model for CER. …”
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Reduction of the Reconstruction Error With Lower and Upper Bounds in Synthetic Aperture Imaging Radiometers by Xiaocheng Yang, Zhenyi Yang, Jingye Yan, Lin Wu, Mingfeng Jiang, Wentao Lyu

“…It should be noted that the prior information like the lower and upper bounds of the brightness temperature distributions has not been utilized in the reconstruction procedure, especially for the open ocean with relatively small brightness temperature difference. …”
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Finding a suitable chest x-ray image size for the process of Machine learning to build a model for predicting Pneumonia by Kriengsak Yothapakdee, Yosawaj Pugtao, Sarawoot Charoenkhun, Tanunchai Boonnuk, Kreangsak Tamee

“…While larger images generally yield better results, there is a decline in performance beyond a certain size. Lowering the image resolution to 32x32 pixels significantly reduces performance to 83.00% likely due to the loss of diagnostic features. …”
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Order Picking Problem: A Model for the Joint Optimisation of Order Batching, Batch Assignment Sequencing, and Picking Routing by Antonio Maria Coruzzolo, Francesco Lolli, Elia Balugani, Elisa Magnani, Miguel Afonso Sellitto

“…As both models were too complex to test, the earliest due date constructive heuristic algorithm was developed. …”
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A Novel Hybrid Steganography Approach for Securing Text, Images, and Audio with Robust Encryption in Audio Steganography by srinivasa padmaja, Shaik Mahaboob Basha

“…In response to rising dangers in digital communication, the study investigates the vulnerabilities of text, picture, and audio mediums. …”
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Many-body computing on Field Programmable Gate Arrays by Songtai Lv, Yang Liang, Yuchen Meng, Xiaochen Yao, Jincheng Xu, Yang Liu, Qibin Zheng, Haiyuan Zou

“…By using a supercell structure and simulating the hardware architecture with High-Level Synthesis, we achieve $$O(1)$$ O ( 1 ) scaling for the time of one sweep, regardless of the overall system size. We also demonstrate the utilization of programmable hardware to accelerate a typical tensor network algorithm for ground-state calculations. …”
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Application Of K-Nearest Neighbor Algoritma for Customer Review Sentiment Analysis at Ngeboel Vapestore Shop by Muhammad Aryanda, Ita Arfyanti, Yulindawati Yulindawati

“…Although Logistic Regression achieved higher accuracy (92.6%), it failed to detect negative sentiment. The findings highlight the potential and limitations of K-NN for sentiment analysis in underexplored MSME contexts like vape retail. …”
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Automatic text generation system for endangered languages based on conditional generative adversarial networks by Zhong Luo

“…The focus is on overcoming challenges associated with discrete data handling in natural language generation by utilizing an improved CGAN model. …”
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SNUH methylation classifier for CNS tumors by Kwanghoon Lee, Jaemin Jeon, Jin Woo Park, Suwan Yu, Jae-Kyung Won, Kwangsoo Kim, Chul-Kee Park, Sung-Hye Park

“…When applied to 193 unknown SNUH methylation data samples, SNUH-MC notably improved diagnosis compared to DKFZ-MC v11b4. …”
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A Computational Offloading Method for Edge Server Computing and Resource Allocation Management by Muna Al-Razgan, Taha Alfakih, Mohammad Mehedi Hassan

“…This helps to minimize the latency and increase the response time. To do so, we use a decision rule based Heuristic Virtual Value (HVV). …”
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