Onboard Person Retrieval System With Model Compression: A Case Study on Nvidia Jetson Orin AGX by Jay N. Chaudhari, Hiren Galiyawala, Paawan Sharma, Pancham Shukla, Mehul S. Raval

“…It enhances the F1-score by 4.1% with ConvNeXT-Base, 1.63% with the ResNet, and by 8.07% with EfficientNet-B0, surpassing the performance of the state-of-the-art Weighted-PAR method. The proposed method uses model compression techniques like quantisation and pruning with L1 regularisation to assess their impact on person retrieval. …”
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An Efficient Frequency Domain Based Attribution and Detection Network by Junbin Zhang, Yixiao Wang, Hamid Reza Tohidypour, Panos Nasiopoulos

“…Our evaluation results show that our proposed solution outperforms other state-of-the-art methods on unseen image types, showing great generalizability.…”
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Recent changes in ENSO’s impacts on the summertime circumglobal teleconnection and mid-latitude extremes by Shankai Tang, Shaobo Qiao, Bin Wang, Fei Liu, Xian Zhu, Taichen Feng, Guolin Feng, Wenjie Dong

“…Since 1980s, the ENSO–ISMR link has weakened, but the westward-displaced ENSO forcing has been able to directly trigger a Rossby wave response at the exit of the East Asian westerly jet, resulting in a shift of the previous CGT’s North Pacific and downstream centers westward along the westerly jet waveguide. State-of-the-art climate models with prescribed anthropogenic forcing cannot simulate these changes, suggesting that they are driven by natural variability. …”
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Entrevista a David Evans: Memórias e Reflexões Sobre Pintura Mural no Pós-25 de Abril  by Catarina Lira Pereira

“…A 10 de junho de 1974, no âmbito de uma festa popular organizada pelo Movimento das Forças Armadas (MFA), Evans participou na criação de um painel colaborativo na Galeria de Arte Moderna, em Belém, juntamente com outros 47 artistas. …”
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STI/HIV risk prediction model development—A novel use of public data to forecast STIs/HIV risk for men who have sex with men by Xiaopeng Ji, Zhaohui Tang, Sonya R. Osborne, Thi Phuoc Van Nguyen, Amy B. Mullens, Judith A. Dean, Yan Li

“…The performance of the STI prediction achieves the best when the Synthetic Minority Oversampling Technique (SMOTE) is applied (Accuracy = 0.99, AUC = 0.99), which outperforms the state-of-the-art baselines. Two possible factors that may affect the classification and generalization performance are further analyzed. …”
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Current Status of Comprehensive Chromosome Screening for Elective Single-Embryo Transfer by Ming-Yih Wu, Kuang-Han Chao, Chin-Der Chen, Li-Jung Chang, Shee-Uan Chen, Yu-Shih Yang

“…Most in vitro fertilization (IVF) experts and infertility patients agree that the most ideal assisted reproductive technology (ART) outcome is to have a healthy, full-term singleton born. …”
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Adaptive micro partition and hierarchical merging for accurate mixed data clustering by Yunfan Zhang, Rong Zou, Yiqun Zhang, Yue Zhang, Yiu-ming Cheung, Kangshun Li

“…Extensive experimental evaluations comparing the proposed AMPHM with state-of-the-art counterparts on various datasets demonstrate its superiority.…”
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Diabetic Retinopathy Detection Using Local Extrema Quantized Haralick Features with Long Short-Term Memory Network by Abubakar M. Ashir, Salisu Ibrahim, Mohammed Abdulghani, Abdullahi Abdu Ibrahim, Mohammed S. Anwar

“…Similarly, comparison with the related state-of-the-art researches highlights the validity of the proposed method. …”
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Proper Names as an Ethnocultural Text: Nogai Place Names as Determinants of Ethnic Memory by Mariia Bulgarova

“…The migration routes of the Nogais in the expanses of Eurasia are marked by toponyms preserved on maps of many historical territories and states, in archives and written monuments, oral folk art, ethnic memory of peoples. Nogai toponyms are scattered – from the Irtysh to the Danube, from Issyk-Kul to the Mediterranean Sea. …”
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Gamma norm minimization based image denoising algorithm by Hongyan WANG, Tuo WANG, Mian PAN, Zumin WANG

“…Focusing on the issue of rather poor denoising performance of the traditional kernel norm minimization based method caused by the biased approximation of kernel norm to rank function,based on the low-rank theory,a gamma norm minimization based image denoising algorithm was developed.The noisy image was firstly divided into some overlapping patches via the proposed algorithm,and then several non-local image patches most similar to the current image patch were sought adaptively based on the structural similarity index to form the similar image patch matrix.Subsequently,the non-convex gamma norm could be exploited to obtain unbiased approximation of the matrix rank function such that the low-rank denoising model could be constructed.Finally,the obtained low-rank denoising optimization issue could be tackled on the basis of singular value decomposition,and therefore the denoised image patches could be re-constructed as a denoised image.Simulation results demonstrate that,compared to the existing state-of-the-art PID,NLM,BM3D,NNM,WNNM,DnCNN and FFDNet algorithms,the developed method can eliminate Gaussian noise more considerably and retrieve the original image details rather precisely.…”
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Direct Numerical Simulation and Visualization of Subcooled Pool Boiling by Tomoaki Kunugi, Yasuo Ose

“…In this paper, the state of the art of direct numerical simulation of the pool boiling phenomena during mostly two decades is briefly summarized at first, and then the nonempirical boiling and condensation model proposed by the authors is introduced into the MARS (MultiInterface Advection and Reconstruction Solver developed by the authors). …”
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Hardware Accelerators Targeting a Novel Group Based Packet Classification Algorithm by O. Ahmed, S. Areibi, G. Grewal

“…When compared with other state-of-the-art classification techniques, the results showed that GBSA outperforms the competition with respect to speed, memory usage, and processing time. …”
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An Overview: PAH and Nitro-PAH Emission from the Stationary Sources and their Transformations in the Atmosphere by Yen-Yi Lee, Yen-Kung Hsieh, Bo-Wun Huang, Justus Kavita Mutuku, Guo-Ping Chang-Chien, Shiwei Huang

“…The evolution of the state-of-the-art pretreatment and quantification techniques applied to evaluate PAHs and nitro-PAH concentrations accurately are discussed. …”
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A Hybrid Approach for Sports Activity Recognition Using Key Body Descriptors and Hybrid Deep Learning Classifier by Muhammad Tayyab, Sulaiman Abdullah Alateyah, Mohammed Alnusayri, Mohammed Alatiyyah, Dina Abdulaziz AlHammadi, Ahmad Jalal, Hui Liu

“…Compared to state-of-the-art methods, our approach achieved better performance in event recognition.…”
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Ordinal Random Tree with Rank-Oriented Feature Selection (ORT-ROFS): A Novel Approach for the Prediction of Road Traffic Accident Severity by Bita Ghasemkhani, Kadriye Filiz Balbal, Kokten Ulas Birant, Derya Birant

“…According to the results, the proposed method improved prediction accuracy by 10.81% over state-of-the-art studies on average on different train–test split ratios. …”
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La transmission de la mémoire dans les romans de Marie-Claire Blais by Eva Pich-Ponce

“…The violence of the past is associated to the brutality of the modern world, and suggests an apocalyptic future. Only art and human solidarity seem to bring a certain light of hope to the characters.…”
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Early Prediction of Cardio Vascular Disease (CVD) from Diabetic Retinopathy using improvised deep Belief Network (I-DBN) with Optimum feature selection technique by T. K. Revathi, B. Sathiyabhama, S Kaliraj, Vidhushavarshini Sureshkumar

“…The results of I-DBN outperform other state-of-the-art methods. The result validation ensures that I-DBN can deliver trustworthy recommendations to doctors to treat the patients by enhancing the accuracy of CVD prediction up to 98.95%.…”
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An improved quantum-inspired particle swarm optimisation approach to reduce energy consumption in IoT networks by Yousra Mahmoudi, Nadjet Zioui, Hacène Belbachir

“…These results underscore QIPSOC's superiority over state-of-the-art methods in optimising energy efficiency and performance in IoT networks, making it well-suited for real-world deployment scenarios requiring rapid decision-making.…”
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Sensory Precipitation Forecast Using Artificial Neural Networks and Decision Trees by Ünal Kızıl, Hakkı Fırat Altınbilek, Sefa Aksu, Hakan Nar

“…Meteorology stations sold in the market have various difficulties in terms of their use, also these systems are costly to obtain. With state of the art sensor technologies, the development of mini weather stations has become easier. …”
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Advancing a Vision Foundation Model for Ming-Style Furniture Image Segmentation: A New Dataset and Method by Yingtong Wan, Wanru Wang, Meng Zhang, Wei Peng, He Tang

“…Our experiments demonstrate that the proposed method significantly improves the segmentation accuracy, outperforming state-of-the-art models in terms of the mean intersection over union (mIoU). …”
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