Results 41 to 50 of about 5,202,137 (253)

Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling

open access: yesAdvanced Robotics Research, EarlyView.
This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou   +4 more
wiley   +1 more source

evgam: An R Package for Generalized Additive Extreme Value Models

open access: yesJournal of Statistical Software, 2022
This article introduces the R package evgam. The package provides functions for fitting extreme value distributions. These include the generalized extreme value and generalized Pareto distributions.
Benjamin D. Youngman
doaj   +1 more source

Bio‐Inspired Object Retrieval via Proximity‐Guided Adaptive Thigmotactic Exploration and Neuromorphic Recognition

open access: yesAdvanced Robotics Research, EarlyView.
Sparse active‐infrared proximity sensing is coupled to an adaptive thigmotactic controller for camera‐inaccessible object retrieval. After grasping, receptor‐informed encoding transforms force, temperature, and wrist force–torque signals into spike trains for spiking neural network recognition.
Fengyi Wang, Nitish Thakor, Gordon Cheng
wiley   +1 more source

Statistical modeling of the net worth of billionaires in Africa

open access: yesScientific African
Africa has the potential to become an economic giant, yet we are aware of no papers modeling the net worth of billionaires in Africa. In this note, we fit the lognormal, Pareto type I, Fréchet, Weibull, generalized extreme value, gamma, log logistic ...
Saralees Nadarajah, Adamu Abubakar Umar
doaj   +1 more source

A New Class of Generalized Probability-Weighted Moment Estimators for the Pareto Distribution

open access: yesMathematics, 2023
Estimation based on probability-weighted moments is a well-established method and an excellent alternative to the classic method of moments or the maximum likelihood method, especially for small sample sizes. In this research, we developed a new class of
Frederico Caeiro, Ayana Mateus
doaj   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

A Generalization of Exponentiated Pareto-I Distribution with Applications

open access: yesJournal of Applied Science and Engineering
According to earlier research, transmuting a standard distribution often results in a compound distribution that performs better and is more flexible. In light of this fact, this article proposes two novel generalized versions of the exponentiated Pareto-
Hussein Eledum, S.I. Ansari
doaj   +1 more source

An Overview of Statistical Methods for Studying the Extreme Rainfalls in Mediterranean

open access: yesProceedings, 2017
Extreme rainfall is one of the most devastating natural events. The frequency and intensity of these events has increased. This trend will likely continue as the effects of climate change become more pronounced.
Georgia Lazoglou   +1 more
doaj   +1 more source

Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks

open access: yesAdvanced Science, EarlyView.
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu   +5 more
wiley   +1 more source

Selecting the best distribution for modeling trends in low, medium, and extreme daily precipitation under climate change [PDF]

open access: yesAdvances in Statistical Climatology, Meteorology and Oceanography
Changes in mean precipitation and the frequency and intensity of extreme precipitation represent one of the most consequential aspects of anthropogenic climate change. This study evaluates a set of statistical distributions for modeling trends across the
A. Haruna   +3 more
doaj   +1 more source

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