Results 91 to 100 of about 9,758 (260)

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Droplet Electricity Generators With Maximized Energy Collection Zone Enabled by Aloe‐Inspired Midrib and Cuticle

Advanced Materials, EarlyView.
An Aloe‐pinspired droplet electricity generator (A‐DEG) overcomes the limited energy collection zone of conventional DEGs by guiding impact droplets through a channeling midrib and artificial cuticle. The channeling midrib induces uni‐directional droplet spreading, while the artificial cuticle on the midrib further reinforces this behavior through its ...
Gibeom Lee, Eunbyeol Kim, Kyongtae Choi, Minjun Song, Sunmin Jang, Dongwhi Choi, Donghyun Seo, Min‐Gyu Lee, Younghoon Lee   +8 more
wiley   +1 more source

Smoothing Techniques and Augmented Lagrangian Method for Recourse Problem of Two-Stage Stochastic Linear Programming

Journal of Applied Mathematics, 2013
The augmented Lagrangian method can be used for solving recourse problems and obtaining their normal solution in solving two-stage stochastic linear programming problems.
Saeed Ketabchi, Malihe Behboodi-Kahoo
doaj   +1 more source

Contextual Scenario Generation for Two-Stage Stochastic Programming

CoRR
79 pages, 12 ...
David Islip, Roy H. Kwon, Sanghyeon Bae, Woo Chang Kim   +3 more
openaire   +2 more sources

Stochastic Utility-Efficient Programming of Organic Dairy Farms [PDF]

Opportunities to make sequential decisions and adjust activities as a season progresses and more information becomes available characterize the farm management process.
Lien, Gudbrand D., Flaten, Ola
core   +1 more source

AI–Guided 4D Printing of Carnivorous Plants–Inspired Microneedles for Accelerated Wound Healing

Advanced Materials, EarlyView.
This work presents an artificial intelligence (AI)‐guided 4D‐printed microneedle platform inspired by carnivorous plants for wound healing. A thermo‐responsive shape memory polymer enables body temperature–triggered self‐coiling for autonomous wound closure.
Hyun Lee, Moon‐Jo Kim, DongEung Kim, Chan Ho Moon, Seojoon Bang, Hyeong Seok Kang, Ju Yeong Gwon, Jong Hwa Seo, Junhyub Jeon, Junhyuk Son, Munwon Lim, Minho Kang, Dong Yun Lee, Donghyun Lim, Jung‐Hoon Park, Gi Doo Cha, Soo‐Hong Lee, Tae‐Sik Jang, Kisuk Yang, Yunho Jeong, Youngho Eom, Hyun‐Do Jung   +21 more
wiley   +1 more source

DISCRETE STOCHASTIC SEQUENTIAL PROGRAMMING: A PRIMER [PDF]

The purpose of this paper is to present an overview of discrete stochastic sequential programming and to illustrate the technique through a numerical example.
Kaiser, Harry M., Apland, Jeffrey
core   +1 more source

Discrepancy distances and scenario reduction in two-stage stochastic integer programming [PDF]

, 2007
Polyhedral discrepancies are relevant for the quantitative stability of mixed-integer two-stage and chance constrained stochastic programs. We study the problem of optimal scenario reduction for a discrete probability distribution with respect to certain
Henrion, René, Römisch, Werner, Küchler, Christian   +2 more
core   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Enhancing intelligence source performance management through two-stage stochastic programming and machine learning techniques

Frontiers in Big Data
IntroductionThe effectiveness of intelligence operations depends heavily on the reliability and performance of human intelligence (HUMINT) sources. Yet, source behavior is often unpredictable, deceptive or shaped by operational context, complicating ...
Lucas Wafula Wekesa, Stephen Korir
doaj   +1 more source