Zobrazeno 1 - 10
of 271 049
pro vyhledávání: '"MacDonald AS"'
Transmission spectroscopy is the most widely used technique for studying exoplanet atmospheres. Since the planetary nightside faces the observer during a transit, highly irradiated giant exoplanets with warm nightsides emit thermal radiation that can
Externí odkaz:
http://arxiv.org/abs/2408.07739
Autor:
Valencia, David, Williams, Henry, Xing, Yuning, Gee, Trevor, Liarokapis, Minas, MacDonald, Bruce A.
Reinforcement Learning (RL) has been widely used to solve tasks where the environment consistently provides a dense reward value. However, in real-world scenarios, rewards can often be poorly defined or sparse. Auxiliary signals are indispensable for
Externí odkaz:
http://arxiv.org/abs/2407.21338
Autor:
Radtke, Andrea J., Anidi, Ifeanyichukwu, Arakkal, Leanne, Arroyo-Mejias, Armando, Beuschel, Rebecca T., Borner, Katy, Chu, Colin J., Clark, Beatrice, Clatworthy, Menna R., Colautti, Jake, Croteau, Joshua, Denha, Saven, Dever, Rose, Dutra, Walderez O., Fritzsche, Sonja, Fullam, Spencer, Gerner, Michael Y., Gola, Anita, Gollob, Kenneth J., Hernandez, Jonathan M., Hor, Jyh Liang, Ichise, Hiroshi, Jing, Zhixin, Jonigk, Danny, Kandov, Evelyn, Kastenmueller, Wolfgang, Koenig, Joshua F. E., Kothurkar, Aanandita, Kreins, Alexandra Y., Lamborn, Ian, Lin, Yuri, Morais, Katia Luciano Pereira, Lunich, Aleksandra, Luz, Jean C. S., MacDonald, Ryan B., Makranz, Chen, Maltez, Vivien I., Moriaty, Ryan V., Ocampo-Godinez, Juan M., Olyntho, Vitoria M., Padhan, Kartika, Remmert, Kirsten, Richoz, Nathan, Schrom, Edward C., Shang, Wanjing, Shi, Lihong, Shih, Rochelle M., Speranza, Emily, Stierli, Salome, Teichmann, Sarah A., Veres, Tibor Z., Vierhout, Megan, Wachter, Brianna T., Wade-Vallance, Adam K., Williams, Margaret, Zangger, Nathan, Germain, Ronald N., Yaniv, Ziv
Iterative Bleaching Extends multipleXity (IBEX) is a versatile method for highly multiplexed imaging of diverse tissues. Based on open science principles, we created the IBEX Knowledge-Base, a resource for reagents, protocols and more, to empower inn
Externí odkaz:
http://arxiv.org/abs/2407.19059
Utilising Explainable Techniques for Quality Prediction in a Complex Textiles Manufacturing Use Case
Autor:
Forsberg, Briony, Williams, Dr Henry, MacDonald, Prof Bruce, Chen, Tracy, Hamzeh, Dr Reza, Hulse, Dr Kirstine
This paper develops an approach to classify instances of product failure in a complex textiles manufacturing dataset using explainable techniques. The dataset used in this study was obtained from a New Zealand manufacturer of woollen carpets and rugs
Externí odkaz:
http://arxiv.org/abs/2407.18544
In this study, state-of-the-art unsupervised detection models were evaluated for the purpose of automated anomaly inspection of wool carpets. A custom dataset of four unique types of carpet textures was created to thoroughly test the models and their
Externí odkaz:
http://arxiv.org/abs/2407.18450
Our recent work shows how M-Earth climates and transmission spectra depend on the amount of ice-free ocean on the planet's dayside and the mass of N2 in its atmosphere. M-Earths with more ice-free ocean and thicker atmospheres are hotter and more hum
Externí odkaz:
http://arxiv.org/abs/2407.17600
We introduce EuroCropsML, an analysis-ready remote sensing machine learning dataset for time series crop type classification of agricultural parcels in Europe. It is the first dataset designed to benchmark transnational few-shot crop type classificat
Externí odkaz:
http://arxiv.org/abs/2407.17458
Autor:
Liu, Zhida, Wang, Haonan, Liu, Xiaohui, Ni, Yue, Gao, Frank, Arash, Saba, Kim, Dong Seob, Liu, Xiangcheng, Zeng, Yongxin, Quan, Jiamin, Huang, Di, Watanabe, Kenji, Taniguchi, Takashi, Baldini, Edoardo, MacDonald, Allan H., Shih, Chih-Kang, Yang, Li, Li, Xiaoqin
Many fascinating properties discovered in graphene and transition metal dichalcogenide (TMD) moir\'e superlattices originate from flat bands and enhanced many-body effects. Here, we discover new many-electron excited states in TMD homobilayers. As op
Externí odkaz:
http://arxiv.org/abs/2407.17025
Neural networks -- especially those that use large, pre-trained language models -- have improved search engines in various ways. Most prominently, they can estimate the relevance of a passage or document to a user's query. In this work, we depart fro
Externí odkaz:
http://arxiv.org/abs/2407.12170
Autor:
Espinoza, Néstor, Steinrueck, Maria E., Kirk, James, MacDonald, Ryan J., Savel, Arjun B., Arnold, Kenneth, Kempton, Eliza M. -R., Murphy, Matthew M., Carone, Ludmila, Zamyatina, Maria, Lewis, David A., Samra, Dominic, Kiefer, Sven, Rauscher, Emily, Christie, Duncan, Mayne, Nathan, Helling, Christiane, Rustamkulov, Zafar, Parmentier, Vivien, May, Erin M., Carter, Aarynn L., Zhang, Xi, López-Morales, Mercedes, Allen, Natalie, Blecic, Jasmina, Decin, Leen, Mancini, Luigi, Molaverdikhani, Karan, Rackham, Benjamin V., Palle, Enric, Tsai, Shang-Min, Ahrer, Eva-Maria, Bean, Jacob L., Crossfield, Ian J. M., Haegele, David, Hébrard, Eric, Kreidberg, Laura, Powell, Diana, Schneider, Aaron D., Welbanks, Luis, Wheatley, Peter, Brahm, Rafael, Crouzet, Nicolas
Transmission spectroscopy has been a workhorse technique over the past two decades to constrain the physical and chemical properties of exoplanet atmospheres. One of its classical key assumptions is that the portion of the atmosphere it probes -- the
Externí odkaz:
http://arxiv.org/abs/2407.10294