Improving Quantum Optimization Algorithms by Constraint Relaxation by Tomasz Pecyna, Rafał Różycki

“…We demonstrate how to formulate the problem Hamiltonian for a quantum approximate optimization algorithm that satisfies all the requirements to correctly describe the considered tactical aircraft deconfliction problem, achieving higher probabilities for finding solutions compared to previous works. …”
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Protecting digital assets using an ontology based cyber situational awareness system by Tariq Ammar Almoabady, Yasser Mohammad Alblawi, Ahmad Emad Albalawi, Majed M. Aborokbah, S. Manimurugan, Ahmed Aljuhani, Hussain Aldawood, P. Karthikeyan

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Circular mRNA-LNP vaccine encoding self-assembled E2-TMD-mi3 nanoparticles licit enhanced CSFV-specific immunity over commercial subunit vaccine by Chunxi Liu, Weifeng Zhai, Wenhao Nie, Conghao Zhong, Feifei Diao, Bo Yin, Bo Yin, Bo Yin

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PMD-Transformer: A Domain Generalization Approach for Person Re-Identification by Xingguo Jiang, Ling Yu, Guojun Lin, Yuchao Zhang

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A Self-Supervised Specific Emitter Identification Method Based on Contrastive Asymmetric Masked Learning by Dong Wang, Yonghui Huang, Tianshu Cui, Yan Zhu

“…Finally, the network is jointly optimized by combining signal reconstruction and feature contrast tasks. …”
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Abstractive Summarization of Historical Documents: A New Dataset and Novel Method Using a Domain-Specific Pretrained Model by Keerthana Murugaraj, Salima Lamsiyah, Christoph Schommer

“…To address the mismatch between the pre-trained encoder and the non-pre-trained decoder, we employ a novel fine-tuning schedule that uses different optimizers for each component. …”
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An End-to-End Solution for Large-Scale Multi-UAV Mission Path Planning by Jiazhan Gao, Liruizhi Jia, Minchi Kuang, Heng Shi, Jihong Zhu

“…Furthermore, their dependence on iterative optimization renders them unsuitable for large-scale real-time applications. …”
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Performance of quantum approximate optimization with quantum error detection by Zichang He, David Amaro, Ruslan Shaydulin, Marco Pistoia

“…In this paper, we demonstrate a partially fault-tolerant implementation of QAOA using the [[k + 2, k, 2]] “Iceberg” error detection code. We observe that encoding the circuit with the Iceberg code improves the algorithmic performance as compared to the unencoded circuit for problems with up to 20 logical qubits on a trapped-ion quantum computer. …”
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Fusion-Optimized Multimodal Entity Alignment with Textual Descriptions by Chenchen Wang, Chaomurilige, Yu Weng, Xuan Liu, Zheng Liu

“…To effectively overcome this limitation, this paper proposes a fusion-optimized multimodal entity alignment method, FMEA-TD. …”
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Optimizing Medical IoT Disaster Management with Data Compression by Nunudzai Mrewa, Athirah Mohd Ramly, Angela Amphawan, Tse Kian Neo

“…To tackle this issue, we introduce "Beyond Orion," a novel lossless compression method designed to optimize data compression in IoT systems. The algorithm employs advanced techniques such as Lempel Ziv-Welch and Huffman encoding, while also integrating strategies like pipelining, parallelism, and serialization for greater efficiency and lower resource usage. …”
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JPEG reversible data hiding method based on optimal DCT frequency embedding by Ziyang ZHOU, Yun TAN, Jiaohua QIN, Xuyu XIANG

“…Joint photographic experts group (JPEG) images are widely used on the Internet due to their ability to maintain good picture quality while requiring less storage space.Reversible data hiding (RDH) techniques for JPEG images enable the hiding and extraction of secret information while allowing for lossless restoration of the original image.RDH is of great significance in file management and image authentication.However, many existing RDH methods result in a significant increase in the storage space of the encoded image after embedding secret information.For methods based on discrete cosine transform (DCT) coefficient embedding, the key issue that affects the performance of reversible information hiding in JPEG images is how to select the frequency band position.A reversible information hiding method for JPEG images was proposed, based on optimal DCT frequency embedding.The entropy decoded JPEG image was divided into 8×8 non-overlapping DCT blocks.The average texture complexity of each DCT block was calculated and ordered in ascending order.Then the alternating current (AC) in adjacent DCT blocks was paired pairwise.By satisfying the capacity of the information to be embedded, the optimal AC coefficient frequency position set was obtained from the distortion cost function of the AC coefficient frequency.The secret information was embedded according to the designed two-dimensional histogram mapping strategy.Experimental results demonstrate that the proposed method can reduce the expansion of the loaded image file’s storage size compared to existing methods, while maintaining good visual quality of the cover image.…”
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A DeBERTa-Based Semantic Conversion Model for Spatiotemporal Questions in Natural Language by Wenjuan Lu, Dongping Ming, Xi Mao, Jizhou Wang, Zhanjie Zhao, Yao Cheng

“…The model first performs semantic encoding on natural language spatiotemporal questions, extracts pre-trained features based on the DeBERTa model, inputs feature vector sequences into BiGRU (Bidirectional Gated Recurrent Unit) to learn text features, and finally obtains globally optimal label sequences through a CRF (Conditional Random Field) layer. …”
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Integrating Machine Learning Algorithms: A Hybrid Model for Lung Cancer Outcome Improvement by Pradnyawant M. Gote, Praveen Kumar, Hemant Kumar, Prateek Verma, Moses Makuei Jiet

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TE-LSTM: A Prediction Model for Temperature Based on Multivariate Time Series Data by Kang Zhou, Chunju Zhang, Bing Xu, Jianwei Huang, Chenxi Li, Yifan Pei

“…To address these challenges, we propose a new model, TE-LSTM, based on LSTM, which employs a temporal encoding method to fully extract temporal features. …”
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Application of Optimized Convolution Neural Network Model in Mural Segmentation by Zhiqiang Chen, Leelavathi Rajamanickam, Xiaodong Tian, Jianfang Cao

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Comparative Analysis of Audio Feature Extraction for Real-Time Talking Portrait Synthesis by Pegah Salehi, Sajad Amouei Sheshkal, Vajira Thambawita, Sushant Gautam, Saeed S. Sabet, Dag Johansen, Michael A. Riegler, Pål Halvorsen

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Algorithms for Routing Optimization in Multipoint to Multipoint 4PL System by Jia Li, Yanqiu Liu, Ying Zhang, Shida Xu

“…To solve the model, a Messy Genetic Algorithm (Messy GA) with double arrays encoding method is designed. The experimental result is compared with the Enumeration Algorithm (EA), and it shows that this algorithm can find the satisfactory solution and is a powerful optimization method for solving the problem.…”
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Learning to Drive in the NGSIM Simulator Using Proximal Policy Optimization by Yang Zhou, Yunxing Chen

“…The built NGSIM simulator was used to train a model using the proximal policy optimization method. The actor-critic neural network was applied, and the model takes inputs including 38 features that encode the information of the host vehicle and the nearest surrounding vehicles in the current lane and adjacent lane. …”
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A Quantum Framework for Combinatorial Optimization Problem over Graphs by Meng Shi, Sai Wu, Ying Li, Gongsheng Yuan, Chang Yao, Gang Chen

“…Abstract Combinatorial optimization problems over graphs, such as the traveling salesman problem, longest path problem, and maximum independent set problem, are well-known for being computationally costly, some even NP-hard problems. …”
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A graph transformer with optimized attention scores for node classification by Yu Zhang, Xin Li, Yaoqun Xu, Xitong Xu, Zhe Wang

“…This paper introduces a novel graph Transformer model with optimized attention scores, named OGFormer, to address this gap. …”
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