Multi-Variable Transformer-Based Meta-Learning for Few-Shot Fault Diagnosis of Large-Scale Systems by Weiyang Li, Yixin Nie, Fan Yang

“…Fault diagnosis in large-scale systems presents significant challenges due to the complexity and high dimensionality of data, as well as the scarcity of labeled fault data, which are hard to obtain during the practical operation process. …”
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Pharmacotherapy variability and precision medicine in neurocritical care by Sherif Hanafy Mahmoud, Maged Kharouba, Asma Aboelezz, Adham Elshamy, Ellen Gunn

“…In conclusion, pharmacotherapy variability within neurocritical care introduces additional layers of complexity that may significantly contribute to therapy failure, adverse drug reactions, and setbacks in drug development. …”
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Study on the influence of base shear distribution on the seismic response of base-isolated split-foundation structures by Yangyang Tang, Baolong Jiang, Yingmin Li, Shuyan Ji

“…Split-foundation structures with base isolation have multiple isolation layers due to their uneven foundation heights. This complexity adds challenges to the seismic isolation design of split-foundation structures. …”
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Transformation of Tagar Culture Burial Traditions by Subbotin Andrey V.

“…In many later complexes, noted an increase of burials where cremation was used. …”
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Gag-Pol processing during HIV-1 virion maturation: a systems biology approach. by Balázs Könnyű, S Kashif Sadiq, Tamás Turányi, Rita Hírmondó, Barbara Müller, Hans-Georg Kräusslich, Peter V Coveney, Viktor Müller

“…The process has several layers of complexity (multiple cleavage sites and substrates; multiple enzyme forms; PR auto-processing), which calls for a systems level approach to identify key vulnerabilities and optimal treatment strategies. …”
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Securing the internet of things: A comprehensive review of ransomware attacks, detection, countermeasures, and future prospects by Peizhi Yan, Tala Talaei Khoei

“…Additionally, we propose a multi-layered defensive strategy integrating technological, legal, and policy measures to address the complexities of ransomware in IoT settings. …”
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Classification of Melanoma Cancer Using Deep Convolutional Neural Networks by Emrah Dönmez, Ali Güneş

“…The initial model featured a primary architecture, progressively refined by adding additional layers and filters to increase its complexity. This iterative enhancement aimed to improve the model’s capability to extract and analyze features from skin images. …”
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Business model - an ephemeral trend or a claim of the future? the orientation of enterprises within the agricultural machinery sector by Nogalski Bogdan, Niewiadomski Przemysław

“…The theoretical and design layers will utilize a method of reconstructing and interpreting the source literature supported by a discussion among purposively selected experts. …”
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Reduction of Vision-Based Models for Fall Detection by Asier Garmendia-Orbegozo, Miguel Angel Anton, Jose David Nuñez-Gonzalez

“…We proceeded to use image sequences as video frames, using data from two open source datasets, and we applied the Sparse Low Rank Method to reduce certain layers of the Convolutional Neural Networks that were the backbone of the models. …”
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Semantic untranslatability in Quranic discourse: challenges and contextual remedies in English translation by Sultan Samah A. Almjlad

“…The findings contribute to the ongoing discourse on sacred text translation and provide pedagogical insights for training translators in handling semantically dense and theologically layered texts. Finally, this study advances Qur’anic translation research by introducing suggested SRMM—a model that balances flexibility with clear principles to address the semantic and theological complexities inherent in sacred texts.…”
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A Critical Review of the Book Iranian Identity: From Antiquity to the End of Pahlavi by Reza Bigdelou

“…Identity, or the examination of who and what man is, has developed as a type of historical awareness and serves a variety of individual and societal functions. Due to the complexity of the identification process and the vastness of layers and aspects of identity, the growth of globalization, the establishment of modern and postmodern educational institutions and frameworks to describe its principles, elements, and functions, and the implications of recent political, social, and economic events, the subject of identity has become a critical and fundamental concern. …”
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About a Routing Problem of the Tool Motion on Sheet Cutting by A. A. Petunin, A. G. Chentsov, P. A. Chentsov

“…Precedence conditions are used for decreasing computational complexity: it excludes the building of the whole array of the Bellman function values (this function is replaced by the layers system).…”
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“People Have Nowhere to Go”: Stakeholder Perceptions on Sustainability of Funded Community Sport Programmes by Anees Ikramullah, Niki Koutrou

“…However, Target Achieving organisations portray signs of strength in some of these sustainability areas, unlike Target Not Achieving organisations. The complexities of sustainability as a multi‐layered construct provide a starting point for further study, while recognising the relevance of organisation type, capacity, and staff roles in influencing sustainability perceptions.…”
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DualCMNet: a lightweight dual-branch network for maize variety identification based on multi-modal feature fusion by Xinhua Bi, Hao Xie, Ziyi Song, Jinge Li, Chang Liu, Xiaozhu Zhou, Helong Yu, Chunguang Bi, Ming Zhao

“…During training, pre-trained 1D-CNN and MobileNetV3 models were used for network initialization with a staged training strategy, first optimizing non-pre-trained layers, then unfreezing pre-trained layers with differentiated learning rates for fine-tuning.ResultsThrough 5-fold cross-validation evaluation, the method achieved a classification accuracy of 98.75% on the validation set, significantly outperforming single-modal methods. …”
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A Three-Stage-Concatenated Non-Linear MMSE Interference Rejection Combining Aided MIMO-OFDM Receiver and its EXIT-Chart Analysis by Jue Chen, Siyao Lu, Tsang-Yi Wang, Jwo-Yuh Wu, Chih-Peng Li, Soon Xin Ng, Robert G. Maunder, Lajos Hanzo

“…We present BLock Error Rate (BLER) results, which show that the proposed scheme can always achieve superior performance to the conventional MMSE-IRC detector at the cost of increasing the complexity. In some cases, our proposed scheme can obtain about 1.5 dB gain, at the cost of 4 times higher complexity. …”
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MAMNet: Lightweight Multi-Attention Collaborative Network for Fine-Grained Cropland Extraction from Gaofen-2 Remote Sensing Imagery by Jiayong Wu, Xue Ding, Jinliang Wang, Jiya Pan

“…To address the issues of high computational complexity and boundary feature loss encountered when extracting farmland information from high-resolution remote sensing images, this study proposes an innovative CNN–Transformer hybrid network, MAMNet. …”
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Performance Analysis of Superposition M-ary QAM Modulation in Coded Protograph LDPC MIMO Communication Systems With Low-Resolution ADCs by Duc A. Hoang, Hieu T. Nguyen, Thang N. Le

“…Low-resolution analog-to-digital converters (ADCs) offer a compelling approach to reducing power consumption and hardware complexity in large-scale multiple-input multiple-output (LS-MIMO) systems for next-generation wireless networks. …”
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Deep Learning Framework Using Transformer Networks for Multi Building Energy Consumption Prediction in Smart Cities by Samuel Moveh, Emmanuel Alejandro Merchán-Cruz, Maher Abuhussain, Yakubu Aminu Dodo, Saleh Alhumaid, Ali Hussain Alhamami

“…The increasing complexity of urban building energy systems necessitates advanced prediction methods for efficient energy management. …”
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Additive Manufacturing for Automotive Radar Sensors Using Copper Inks and Pastes by Nihesh Mohan, Fabian Steinberger, Sonja Wächter, Hüseyin Erdogan, Gordon Elger

“…The Cu particle-free inks were amine-based Cu (II) formate complexes, where the Cu exists in an ionic form. Using contactless printing processes such as ink-jet printing or pneumatic dispensing, the traces could be deposited onto the low-melting temperature (225 °C) polymeric radome structure. …”
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Comparing Blind Image Quality Metrics for Reliable Image Assessment by Cristian George Fieraru, Maria Biserica, Ioana Cristina Plajer, Mihai Ivanovici

“…The machine learning models considered vary significantly in architectural complexity, in terms of both the number of layers and parameters, and we investigate whether this variability has a considerable impact on prediction accuracy. …”
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