With the rapid advancement of deep learning technologies, computer vision has shown immense potential in retail automation. This paper presents a novel self-checkout system for retail based on an improved YOLOv10 network, aimed at enhancing checkout...
We present deep $g$- and $r$-band Magellan/Megacam photometry of two dwarf galaxy candidates discovered in the Dark Energy Survey (DES), Grus I and Indus II (DES J2038-4609). For the case of Grus I, we resolved the main sequence turn-off (MSTO) and $...
We present results from a deep imaging search for companions around the young bona-fide and candidate brown dwarfs Cha Ha 1 to 12 in the Cha I dark cloud, performed with HST WFPC2 (R, I, Ha), VLT FORS1 (VRI), and NTT SofI (JHK). We find 16 faint co...
Deep networks for Earth Observation (⭐ 483)
In the era of deep learning, annotated datasets have become a crucial asset to the remote sensing community. In the last decade, a plethora of different datasets was published, each designed for a specific data type and with a specific task or applic...
We live in a modest home deep in the backwoods, it’s just myself, my son and my husband as well as our dogs and cats. My husband is rarely home as he stays out with his friends quite often, going to...
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facilitating deep or efficient thinking and deepening research and debates[broken anchor] where e.g. discussions are less shallow and the well-known or many arguments
Motion sensors embedded in wearable and mobile devices allow for dynamic selection of sensor streams and sampling rates, enabling several applications, such as power management and data-sharing control. While deep neural networks (DNNs) achieve compe...
I am relatively new to this world. What is the best way to start learning HTML and CSS? I like everything that has to do with programming and computers and I would like to delve deeper into that world...
Many automated operations in agriculture, such as weeding and plant counting, require robust and accurate object detectors. Robotic fruit harvesting is one of these, and is an important technology to address the increasing labour shortages and uncert...
Efficient inference of Deep Neural Networks (DNNs) on resource-constrained edge devices is essential. Quantization and sparsity are key techniques that translate to repetition and sparsity within tensors at the hardware-software interface. This paper...
We evaluate the ability of large language models (LLMs) to infer causal relations from natural language. Compared to traditional natural language processing and deep learning techniques, LLMs show competitive performance in a benchmark of pairwise re...
In deep learning, \textit{depth}, as well as \textit{nonlinearity}, create non-convex loss surfaces. Then, does depth alone create bad local minima? In this paper, we prove that without nonlinearity, depth alone does not create bad local minima, alth...
What is AI, and how does it enable machines to perform tasks requiring human intelligence, like speech recognition and decision-making? AI learns and adapts through new data, integrating into daily life …
1. deeply moved, esp by sorrow or grief: he was greatly affected by her departure.
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Checks DNS tunneling , Netcat usage, ARP and IP/MAC spoofing, suspicious traffic (like unusual internal traffic or SYN scans) and malicious queries, performs Nmap scans on suspicious IPs, and logs activities and results It also performs targeted Nmap scans on…
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