AWI-BS: An adaptive weight incentive for blockchain sharding by Zuobin Ying, Laican Song, Deng Chen, Wusong Lan, Ximeng Liu

“…Our analysis suggests that the processing efficiency of cross-shard transactions is consistent with the barrel effect, i.e., that efficiency is more dependent on slower processing shard. …”
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Study on Trajectory Planning for Polishing Free-Form Surfaces of XY-3-RPS Hybrid Robot by Xiaozong Song, Junfeng An, Xingwu Ma

“…Free-form surface polishing is a key process in precision machining within high-end manufacturing, where optimizing the polishing trajectory directly influences both processing quality and efficiency. …”
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A hybrid zero-reference and dehazing network for joint low-light underground image enhancement by Qing Du, Shihao Zhang, Zhipeng Wang, Jincheng Liang, Shijiao Yang

“…Inspired by visual image processing techniques, this approach combines low-light enhancement and dehazing methods to address the issues of uneven lighting and fog distortion. …”
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Performance Evaluation Using the Malcolm Baldrige Criteria for Performance Excellence in the AVP Production Department of PT. XYZ by Nikita Dinda Purnamasari, Iriani Iriani

“…PT. XYZ, a seafood processing company under X Group, faces challenges in achieving production targets, with an average realization of 59% in the first half of 2024. …”
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Retracted: The use of the intelligent Bayesian network method combined with blockchain technology in the optimisation of tunnel construction quality control by Liping Cai, Qiaona Gong, Feng Jiang, Mingzhan Yuan, Zhiyong Xiao, Shuai Zhang, Chengcheng Zheng, Yue Wu

“…This article was published as part of a Guest Edited special issue. Following an investigation, the IET and the journal have determined that the article was not reviewed in line with the journal’s peer review standards and there is evidence that the peer review process of the special issue underwent systematic manipulation. …”
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Retracted: Scientific programming using optimized machine learning techniques for software fault prediction to improve software quality by Muhammad Shafiq, Fatemah H. Alghamedy, Nasir Jamal, Tahir Kamal, Yousef Ibrahim Daradkeh, Mohammad Shabaz

“…This article was published as part of a Guest Edited special issue. Following an investigation, the IET and the journal have determined that the article was not reviewed in line with the journal’s peer review standards and there is evidence that the peer review process of the special issue underwent systematic manipulation. …”
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Label-Guided Data Augmentation for Chinese Named Entity Recognition by Miao Jiang, Honghui Chen

“…Chinese named entity recognition (NER) is a fundamental natural language processing (NLP) task that involves identifying and categorizing entities in text. …”
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A Reconfigurable Framework for Hybrid Quantum–Classical Computing by Pratibha, Naveed Mahmud

“…The proposed framework integrates field-programmable gate arrays (FPGAs) with quantum processing units (QPUs) for deploying HQC algorithms. …”
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An improving secure communication using multipath malicious avoidance routing protocol for underwater sensor network by Vignesh Prasanna Natarajan, Senthil Jayapal

“…Abstract The Underwater Sensor Network (UWSN) comprises sensor nodes with sensing, data processing, and communication capabilities. Due to the limitation of underwater radio wave propagation, nodes rely on acoustic signals to communicate. …”
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BTCP: Binary Temporal Convolutional Network-Based Data Prefetcher for Low Inference Latency and Storage Overhead by Chang Ho Ryu, Tae Hee Han

“…BTCP aids in detecting memory patterns by processing addresses and program counters through bitwise XOR operations and feeding them into a neural network. …”
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Individual Differences in Global Cognition Modulate the Effect of Motor-Relatedness on Object Naming in Healthy Older Adults by Yang Xiao, Yanping Dong

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Distributed semi-supervised partial multi-dimensional learning via subspace learning by Zhen Xu, Weibin Chen

“…Nowadays, however, the training data are typically distributed at multiple nodes within a network, making it challenging to transmit them to a fusion center for further processing. To address these issues, in this paper, we propose a novel algorithm called distributed semi-supervised partial multi-dimensional learning (dS $$^2$$ 2 PMDL), which is designed to handle distributed classification of a small proportion of partially multi-dimensional (PMD) data and a large proportion of unlabeled data across a network. …”
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Tomato Pomace Ketchup: Physicochemical, Microbiological, and Sensory Characteristics by Stefanny Heriyanto, Andreas Romulo

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The role of hybrid models in financial decision-making: Forecasting stock prices with advanced algorithms by Xiaoyi Zhu

“…Then, the high sequences underwent processing using the optimized random forest algorithm, and the remaining sequences were subjected to processing utilizing optimized bidirectional long short-term memory. …”
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Revolutionizing Sustainable Fashion: Jute–Mycelium Vegan Leather Reinforced with Polyhydroxyalkanoate Biopolymer Crosslinking from Novel Bacteria by Sumaia Akhter, Md Sarwar Jahan, Md. Latifur Rahman, Tania Akter Ruhane, Maruf Ahmed, Mubarak Ahmad Khan

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Perancangan Model Pengukuran Kinerja Rantai Pasok Berbasis Lean dan Green menggunakan Balance Scorecard di PT. P&P Lembah Karet by Alizar Hasan, Berry Yuliandra, Eureka Perdana Putra

“…PT P&P Lembah Karet is a company engaged in the plantation and crumb rubber processing industry. Marketing area is scattered inside and outside the country led to the supply chain performance become one of the important issues in the company. …”
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AI-Enabled IoT for Food Computing: Challenges, Opportunities, and Future Directions by Zohra Dakhia, Mariateresa Russo, Massimo Merenda

“…Despite its potential, food computing faces challenges, including data heterogeneity, privacy concerns, scalability issues, and regulatory constraints. To address these, this paper explores solutions like federated learning for secure on-device data processing and blockchain for transparent traceability. …”
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Hybrid IoT-CAD system: optimized feature selection based gated recurrent residual deep learning for cyber attack detection in IoT networks by Susheela Vishnoi, Sunil Kumar, Saikat Samanta

“…In this work, a novel approach is introduced that combines deep learning (DL) and machine learning (ML) to improve cyber-attack detection in IoT networks, which solves cybersecurity issues. The proposed IoT system includes four steps: pre-processing, augmentation, feature selection, and classification. …”
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Research on Passenger Evacuation in Cruise Ship Theatres under the Dynamic Influence of Fire Products by Tao Zhang, Wei Cai, Min Hu, Gaohan Xiong

“…Moreover, during the evacuation process, a large number of passengers exhibit herd behaviour, leading to some passengers being unable to evacuate safely. …”
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Experiments with a Dark Pedagogy: Learning from/through Temporality, Climate Change and Species Extinction (…and Ghosts) by Scott Jukes, Kathryn Riley

“…The second issue involves the reordering of human/animal relations through processes of settler colonialism that continue to transform land into a commodity, with a significant cultural and material consequence of such colonial harm resulting in the extermination of free-ranging bison herds in the Canadian prairies. …”
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