Tiny-VPS: Tiny Video Panoptic Segmentation Standing on the Shoulder of Giant-VPS by Qingfeng Liu, Mostafa El-Khamy, Kee-Bong Song

“…In this paper, we explore state-of-the-art solutions for VPS at both the giant model regime for offline or server processing and the tiny model regime for online or edge computing. …”
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Optimizing PAPR performance for 6G OTFS waveform using adaptive genetic PTS method for Rician fading channels by Arun Kumar, Aziz Nanthaamornphong, Nishant Gaur

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Robotic Mapping and Localization with Real-Time Dense Stereo on Reconfigurable Hardware by John Kalomiros, John Lygouras

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A Decomposition Model for HPLC-DAD Data Set and Its Solution by Particle Swarm Optimization by Lizhi Cui, Zhihao Ling, Josiah Poon, Simon K. Poon, Junbin Gao, Paul Kwan

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A rapid algorithm for millimeter-wave near-field three-dimensional image reconstruction based on FiNUFFT by Letian Zeng, Sheng Zhang, Yuanyuan Huai, Qi Mao, Jingzhao Li, Zhaohui Luo, Yunhuai Zou

“…This results in a notable reduction in the computational burden, a decrease in processing time, and the circumvention of the interpolation error introduced by the Stolt interpolation. …”
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Operating System for Runtime Reconfigurable Multiprocessor Systems by Diana Göhringer, Michael Hübner, Etienne Nguepi Zeutebouo, Jürgen Becker

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An Impulse-C Hardware Accelerator for Packet Classification Based on Fine/Coarse Grain Optimization by O. Ahmed, S. Areibi, R. Collier, G. Grewal

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A novel digital radiography image fusion enhancement algorithm based on NSST by Guangwen Wang, Kuan Shen, Dingmei Jing, Wang Liao, Zichao Li

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Fog node intrusion detection and response based on SVMIF and INSGA-II algorithm by Zhuojun Luo

“…In fog computing environments, fog nodes serve as key components of edge networks, and their security is crucial for ensuring the stability and reliability of IoT applications. …”
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Research on High-Reliability Energy-Aware Scheduling Strategy for Heterogeneous Distributed Systems by Ziyu Chen, Jing Wu, Lin Cheng, Tao Tao

“…With the demand for workflow processing driven by edge computing in the Internet of Things (IoT) and cloud computing growing at an exponential rate, task scheduling in heterogeneous distributed systems has become a key challenge to meet real-time constraints in resource-constrained environments. …”
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Exploring faculty experiences with generative artificial intelligence tools integration in second language curricula in Chinese higher education by Javed Iqbal, Vafa Asgarova, Zarqa Farooq Hashmi, Berty Nsolly Ngajie, Muhammad Zaheer Asghar, Hanna Järvenoja

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Mental Health Prediction Using Machine Learning: Taxonomy, Applications, and Challenges by Jetli Chung, Jason Teo

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Machine Learning Approaches for Software Defect Prediction by Hijab Zehra Zaidi, Ubaid Ullah, Muddassira Arshad, Hanan Aljuaid, Muhammad Arslan Rauf, Nadeem Sarwar, Rimsha Sajid

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A multi-way parallel named entity annotated corpus for English, Tamil and Sinhala by Surangika Ranathunga, Asanka Ranasinghe, Janaka Shamal, Ayodya Dandeniya, Rashmi Galappaththi, Malithi Samaraweera

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The fine art of fine-tuning: A structured review of advanced LLM fine-tuning techniques by Samar Pratap, Alston Richard Aranha, Divyanshu Kumar, Gautam Malhotra, Anantharaman Palacode Narayana Iyer, Shylaja S.S.

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OVALYTICS: Enhancing Offensive Video Detection with YouTube Transcriptions and Advanced Language Models by Sneha Chinivar, Roopa M.S., Arunalatha J.S., Venugopal K.R.

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OdNER: NER resource creation and system development for low-resource Odia language by Tusarkanta Dalai, Anupam Das, Tapas Kumar Mishra, Pankaj Kumar Sa

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Financial sentiment analysis for pre-trained language models incorporating dictionary knowledge and neutral features by Yongyong Sun, Haiping Yuan, Fei Xu

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Initial exploration into sarcasm and irony through machine translation by Zheng Lin Chia, Michal Ptaszynski, Marzena Karpinska, Juuso Eronen, Fumito Masui

“…The preferred translation model, mBART-50, is identified through a thorough experimental process. Optimal translation settings and the best-finetuned model for irony are explored, with the most effective model being finetuned on both ironic and non-ironic data. …”
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Unsupervised hypernymy directionality prediction using context terms by Thushara Manjari Naduvilakandy, Hyeju Jang, Mohammad Al Hasan

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