Results 161 to 170 of about 90,126 (252)

A Quantised Push‐Sum Distributed Adaptive Momentum Algorithm for Optimisation Over Directed Networks

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT In this paper, we investigate a distributed constrained optimisation problem over directed networks. The agents in the networks conduct local computations and communications, endeavouring to collaboratively minimise the aggregation of all locally known convex cost functions subject to a global constraint set.
Qingguo Lü   +6 more
wiley   +1 more source

Approximating evidence via bounded harmonic means. [PDF]

open access: yesStat Comput
Naderi D, Robert CP, Kamary K, Wraith D.
europepmc   +1 more source

Fault‐Tolerant Fuzzy Boundary Control for Nonlinear Distributed Parameter Systems Under Limited Measurements and Markovian Failures

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT This paper proposes a boundary control method for nonlinear distributed parameter systems (DPSs) with limited boundary measurements (BMs), as typically encountered in networked cyber‐physical processes with spatially distributed dynamics such as thermal and biomedical diffusion systems.
Yanlin Li   +5 more
wiley   +1 more source

800 kV Fast Circuit Breaker: Mechanical Coupling Modelling, Buffer Design and Development

open access: yesHigh Voltage, EarlyView.
ABSTRACT The 800 kV fast circuit breaker (CB) used in ultra‐high voltage (UHV) converter transformer can reduce the total breaking time to 25 ms. It significantly improves the action speed and breaking capacity of the CB, with promising broad application prospects.
Enyuan Dong   +6 more
wiley   +1 more source

Deep Q-Managed: a new framework for multi-objective deep reinforcement learning. [PDF]

open access: yesFront Artif Intell
Menezes R   +3 more
europepmc   +1 more source

Sub‐optimal Internet of Thing devices deployment using branch and bound method

open access: yesIET Networks, EarlyView.
The main contributions of this paper are (1) IoT network deployment problem formation as MILP problem to optimise the transmission among network nodes, and (2) New BB method with a machine learning function to reduce the computational complexity. Abstract The Internet of Thing (IoT) network deployments are widely investigated in 4G and 5G systems and ...
Haesik Kim
wiley   +1 more source

Conditionally Exponential Convex Functions On Locally Compact Groups

open access: yes, 1993
The main objectives of this study are: 1) The construction of a compact base for the convex cone of all conditionally exponential convex functions. The determination of the extreme parts of this cone. يهدف هذا البحث إلى دراسة فئة جميع الدوال الأسية المحدبة المشروطة وحيث أن هذه الفئة هي مخروط محدب فإننا في هذا البحث نبحث نقطتين أساسيتين هما : 1- كيف ...
openaire   +1 more source

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