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Distributed lag model
A distributed lag model is a time series regression that estimates a predictor's effect on an outcome as spread over several past values, with coefficients called lag weights.
Distributed lag non-linear model
The distributed lag non-linear model (DLNM) is a regression framework estimating non-linear exposure–outcome relationships and how they unfold over time lags, developed for environmental epidemiology.
Distributed ledger
A distributed ledger, also known as decentralized ledger technology (DLT), is a transaction record replicated across a network of computers and updated by consensus, not a central administrator.
Distributed manufacturing
Distributed manufacturing is a production model in which geographically separated production units work together instead of one centralized factory, allocating work to whichever node best fits constraints.
Distributed model predictive control
Distributed model predictive control (DMPC) is a control architecture in which multiple local MPC controllers coordinate through communication, achieving performance close to centralized MPC for large-scale systems like microgrids.
Distributed operating system
A distributed operating system manages a network of separate computers so users and programs see one system, pursued in 1980s systems like LOCUS, Sprite, Amoeba, and Plan 9.
Distributed power control
Distributed power control (DPC) is a wireless communication method in which each transmitter adjusts its own power from local measurements, so every link meets a required minimum signal-to-interference ratio.
Distributed quantum computing
Distributed quantum computing, also called modular quantum computation, interconnects multiple small quantum processors through quantum communication protocols, the key route to scaling usable qubits beyond any single device.
Distributed Queue Dual Bus
Distributed Queue Dual Bus (DQDB) is a medium access control protocol for metropolitan area networks in which stations share two counterflowing buses by reserving fixed-length slots, standardized as IEEE 802.6 in 1990.
Distributed Raman amplification
Distributed Raman amplification (DRA) is an optical amplification technique in which the transmission fiber itself serves as the gain medium through stimulated Raman scattering, improving signal-to-noise ratio.
Distributed shared memory
Distributed shared memory (DSM) lets processes on separate machines share one common address space as if the memory were local, while the system moves data across the network.
Distributed source coding
Distributed source coding is a family of compression techniques in which encoders compress correlated sources independently and a joint decoder exploits the correlation, with no loss versus joint encoding per Slepian and Wolf.
Distributed space-time coding
Distributed space-time coding (DSTC) is a cooperative communication technique for wireless relay networks in which separated relays transmit columns of a space-time code, achieving full spatial diversity; it was established by Laneman and Wornell in 2003.
Distributed state estimation
Distributed state estimation is a method where networked sensors cooperatively estimate a system's state by exchanging information with neighbors, used in smart grids and target tracking.
Distributed temperature sensing
Distributed temperature sensing (DTS) is a measurement technique that uses optical fiber as a continuous temperature sensor, reading temperature at every point along cables up to 30 km long.
Distributed tracing
Distributed tracing is an observability technique that records the path of a request through a distributed system's services, capturing timing data to diagnose latency and failures.
Distributed training of deep neural networks
Distributed training of deep neural networks is the set of parallelism techniques, data, tensor, pipeline, and sharded, used to train one model across thousands of GPUs at once.
Distributed transaction
A distributed transaction is a unit of work spanning two or more independent resource managers, such as databases or microservices, that must commit or roll back as a whole.
Distribution (marketing)
Distribution in marketing is the set of organizations, called a marketing channel, that makes a product or service available to consumers; it is the "place" of the 4 Ps.
Distribution (mathematics)
In mathematics, a distribution, also known as a Schwartz distribution or generalized function, is an object that extends the notion of function, making differentiation possible for every element.
Distribution and regional faunas of potter and mason wasps
Potter and mason wasps (Eumeninae) are the largest subfamily of the Vespidae, with about 3,773 species on every continent except Antarctica; the Palearctic realm is richest, followed by the Neotropics.
Distribution area
Distribution area (área de distribución), or geographic range: the fraction of geographic space where a species is present and interacts non-ephemerally with the ecosystem, set by barriers, climatic gradients, biotic interactions, and evolutionary constraints.
Distribution automation
Distribution automation is the use of sensors, communications, and automated switching on the electric distribution grid to detect, isolate, and restore faults, reducing outage duration and extent.
Distribution board
A distribution board, also known as a breaker panel or fuse box, is an enclosure dividing an electrical supply into separate circuits protected by fuses or circuit-breakers.
Distribution company (India)
A distribution company in India, commonly called a DISCOM, is a licensed utility that purchases power and sells it to end consumers through the distribution network.
Distribution fitting
Distribution fitting is the statistical method of selecting a candidate probability distribution family, estimating its parameters from data, and assessing how well the fitted distribution reproduces the data.
Distribution matching distillation
Distribution matching distillation (DMD) is a technique that compresses a multi-step diffusion image model into a one-step generator by matching output distributions rather than copying the sampling trajectory.
Distribution of wealth
The distribution of wealth, or wealth gap, describes how net worth is spread across households. It is consistently more unequal than income, with the top 10% owning 52% of OECD wealth.
Distribution regression
Distribution regression is a supervised learning method that predicts a scalar or vector output from a probability distribution, known only through a bag of drawn samples.
Distribution shift
Distribution shift, also known as dataset shift, is the situation in machine learning where test data differ statistically from the data a model was trained on.