Distributed robust scheduling of distribution-microgrid based on deep learning method integration by WANG Yihong, LIU Jichun, QIU Gao, ZHOU Hao, HE Peixin

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Pollutant removal by Canna Generalis in tropical constructed wetlands for domestic wastewater treatment by H.D. Tran, H.M.T. Vi, H.T.T. Dang, R.M. Narbaitz

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Neonatal Mortality Surveillance System Evaluation, La-Nkwantanang Municipal Assembly, Greater Accra Region, Ghana, 2015-2019 by Dikena Jackson, Benedict Calys Tagoe, Donne Kofi Ameme, Charles Lwanga Noora, Basil Benduri Kaburi, Alice Sallar Adams, Ernest Kenu

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On the possibilities of launching a regional pilot project for the development of a low-carbon economy in the Republic of Tatarstan by I. A. Makarov, E. E. Muzychenko

“…More than 120 countries have already announced plans to achieve net-zero emissions by the middle of the century. …”
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The role of microbiomes in animal invasions: a scoping review by Claudia Romeo, Elsa Brenner, Lucas A. Wauters, Antton Alberdi

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EFFECTIVENESS OF THE REGULATORY ENFORCEMENT FOR AML IN UKRAINE: IS IT ALL QUIET ON THE FINANCIAL FRONT? by Вікторія Коваленко, Олена Шевцова, Сергій Шелудько, Олена Мацків, Cергій Азаренков

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Enhancing Arrhythmia Diagnosis Through ECG Deep Learning Classification Deploying and Augmented Reality 3D Heart Visualization and Interaction by Kahina Amara, Mohamed Amine Guerroudji, Oussama Kerdjidj, Nadia Zenati, Shadi Atalla, Naeem Ramzan

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Laboratory analysis to determine the accurate characteristics of urban food waste by A. Charkhestani, D. Yousefi Kebria

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TRANSFORMATION OF DIRECTIONS OF INTERACTION OF TAX BODIES AND ENTERPRISES IN THE PROCESS OF THE REALIZATION OF TAX CONTROL by M. I. Krupka, G. Lew, L. P. Tkachyk, M. V. Rubakha, О. S. Irshak

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MFF: A Deep Learning Model for Multi-Modal Image Fusion Based on Multiple Filters by Yuequn Wang, Zhengwei Li, Jianli Wang, Leqiang Yang, Bo Dong, Hanfu Zhang, Jie Liu

“…Multi-modal image fusion mainly refers to the feature fusion of two or more different images taken from the same perspective range to increase the amount of information contained in an image. This study proposes a multi-modal image fusion deep network called the MFF network. …”
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Duck Egg Crack Detection Using an Adaptive CNN Ensemble with Multi-Light Channels and Image Processing by Vasutorn Chaowalittawin, Woranidtha Krungseanmuang, Posathip Sathaporn, Boonchana Purahong

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Assessment the Planning by Using Gamma Knife Indices for the Patient with Vestibular Schwannoma by Mohsen Jasim, Siham Abdullah, Moneer Faraj

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LH-YOLO: A Lightweight and High-Precision SAR Ship Detection Model Based on the Improved YOLOv8n by Qi Cao, Hang Chen, Shang Wang, Yongqiang Wang, Haisheng Fu, Zhenjiao Chen, Feng Liang

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RETRACTED ARTICLE: A combined microfluidic deep learning approach for lung cancer cell high throughput screening toward automatic cancer screening applications by Hadi Hashemzadeh, Seyedehsamaneh Shojaeilangari, Abdollah Allahverdi, Mario Rothbauer, Peter Ertl, Hossein Naderi-Manesh

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Prospects of pekin duck rearing in coastal region of Bangladesh by M. K. Rahman

“…For this purpose the information was collected by direct interview using a questionnaire from 30 duck farmers. …”
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Large Language Models can extract morphological data from taxonomic descriptions, but their stochastic nature makes automation challenging: a test on Australian Asteraceae by Alexander N. Schmidt-Lebuhn, Nunzio Knerr

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RF-AIRCGR: Lightweight Convolutional Neural Network-Based RFID Chinese Character Gesture Recognition Research by Yajun Zhang, Congcong Wang, Feng Li, Weiqian Yu, Yuankang Wang, Jingying Chen

“…After a series of preprocessing steps, the improved C-AlexNet model is employed for deep training and experimentation. …”
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Clinical Utility of a Coronary Heart Disease Risk Prediction Gene Score in UK Healthy Middle Aged Men and in the Pakistani Population. by Katherine E Beaney, Jackie A Cooper, Saleem Ullah Shahid, Waqas Ahmed, Raheel Qamar, Fotios Drenos, Martin A Crockard, Steve E Humphries

“…In combination with the Framingham algorithm the GSs appeared to show improvement in discrimination (increase in area under the ROC curve, 19-SNP p=0.48, 13-SNP p=0.82) and risk classification (net reclassification improvement (NRI), 19-SNP p=0.28, 13-SNP p=0.42) compared to the Framingham algorithm alone, but these were not statistically significant. …”
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UTILIZING QUANTUM-ENHANCED DYNAMIC CLUSTERING FOR OPTIMIZED PATH SELECTION IN WBANS FEATURING OPTICAL BIOSENSORS TECHNOLOGY by Poonam Sharma, Kamaljit Singh Saini, Prabhjot Kaur

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Dual stream graph augmented transformer model integrating BERT and GNNs for context aware fake news detection by Hejamadi Rama Moorthy, N. J. Avinash, N. S. Krishnaraj Rao, K. R. Raghunandan, Radhakrishna Dodmane, Jeremy Joseph Blum, Lubna A Gabralla

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