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Debugging
Debugging is the process of finding and removing defects, or bugs, from software or hardware; the term traces to a 1947 Harvard Mark II incident where a moth was found in a relay.
DEC Alpha
DEC Alpha, originally named Alpha AXP, is a 64-bit RISC computer architecture developed by Digital Equipment Corporation, announced in 1992 to replace the 32-bit VAX.
Dec Group (company)
Dec Group, founded by Frederic Dietrich and his sons in 1987, is a Swiss engineering company making powder handling and containment equipment for pharmaceutical and chemical industries.
Decade of Action for Road Safety
The Decade of Action for Road Safety 2011–2020 was a United Nations-proclaimed global initiative to stabilize and reduce road traffic deaths through five pillars of action.
Decagon (company)
Decagon, also known as Decagon AI, is an enterprise AI company founded in 2023 by Jesse Zhang and Ashwin Sreenivas that builds AI customer support agents for Duolingo and other companies.
Decalin
Decalin, also known as decahydronaphthalene, is a bicyclic cycloalkane of two fused cyclohexane rings, used as a solvent, a high-cetane diesel component, and a hydrogen carrier.
Decanter
A decanter, or wine decanter, is a stoppered decorative glass vessel into which wine or spirits are poured for serving, to separate sediment and aerate the drink.
Decart
Decart is an Israeli AI startup, founded in 2023 in Mevaseret Zion, that builds real-time generative world models like Oasis and was reportedly valued near $4 billion in 2026.
Decawave DW1000
The Decawave DW1000 is a single-chip ultra-wideband transceiver IC from the Irish company Decawave, compliant with IEEE 802.15.4a and used for location and asset tracking to 10 cm precision.
Decay heat removal
Decay heat removal is the reactor safety function that carries away heat from radioactive decay in nuclear fuel after shutdown, from power operation through refuelling.
Decentralized autonomous organization
A decentralized autonomous organization (DAO) is an organization whose rules are encoded in smart contracts on a blockchain, with token holders voting on decisions that execute automatically.
Decentralized collision avoidance
Decentralized collision avoidance is a robotics method in which each robot in a multi-robot system independently computes collision-free motions without central coordination, used in warehouse fleets and drone swarms.
Decentralized federated learning
Decentralized federated learning, also called swarm learning, is a machine learning approach where clients train a shared model by exchanging updates directly with peers, without a central server.
Decentralized partially observable Markov decision process
A decentralized partially observable Markov decision process (Dec-POMDP) is a mathematical model for a team of cooperating agents under uncertainty, where each agent acts on its own local observations toward a shared reward.
Deception technology
Deception technology is a category of defensive cybersecurity tools that plants decoy assets, fake credentials, and bogus data in a network so attackers who touch them reveal their presence and waste effort.
Decimomannu Roman bridge
The Decimomannu Roman bridge, or Ponte romano di Bingia Manna, is a ruined Roman bridge over the Rio Sesi at Decimomannu, Sardinia, on the Karalis-Sulci road; originally thirteen arches and about 160 m long, three arches survive.
Deciphering Data Architectures
Deciphering Data Architectures (O'Reilly, February 2024, 278 pages) by James Serra, Microsoft big data and data warehousing solution architect, compares modern data warehouse, data fabric, data lakehouse, and data mesh architectures, with pros, cons, and use cases.
Decision altitude
Decision altitude (DA) is a specified altitude referenced to mean sea level at which a pilot on a vertically guided instrument approach must decide whether to continue or initiate a missed approach.
Decision feedback equalization
Decision feedback equalization (DFE) is a nonlinear equalization technique that removes intersymbol interference in digital receivers, subtracting the interference of already-detected symbols before each new decision.
Decision feedback equalizer
A decision feedback equalizer (DFE) is a nonlinear equalizer, formalized in 1967, that cancels intersymbol interference by feeding past decisions back through a filter; its key weakness is error propagation.
Decision Model and Notation
Decision Model and Notation (DMN) is an Object Management Group standard, first published in 2015, for modeling business decisions and rules using decision tables and the FEEL expression language.
Decision table
A decision table is a rule-based classifier that stores labeled instances in a table of conditions and outcomes, classifying new instances by looking up the matching cell's majority class.
Decision Transformer
Decision Transformer is a 2021 reinforcement learning architecture by Lili Chen, Kevin Lu, and colleagues that casts RL as sequence modeling with a GPT-style Transformer trained on offline trajectories.
Decision tree
A decision tree is a machine learning model that predicts outcomes by recursively splitting data with simple feature questions, used for classification and regression tasks.
Decision tree learning
Decision tree learning is a supervised machine learning method that builds a predictive model as a tree of feature tests, handling classification and regression, and used in ensembles like random forests.
Decision tree model
The decision tree model is a supervised learning model that predicts by learning a hierarchy of decision rules, each node testing a feature and each leaf giving a prediction.
Decision Trees
Decision trees: branching diagrams of decision nodes (squares), chance nodes (circles), probabilities summing to 1.0, and valued outcomes, used in clinical decision analysis, health economics, and machine learning classification.
Decision-directed channel equalization
Decision-directed channel equalization is an adaptive equalization mode where the receiver uses its own detected symbols instead of a known training sequence, avoiding the bandwidth cost of retraining.
Decision-directed channel estimation
Decision-directed channel estimation (DDCE) is a receiver technique that treats its own detected, re-modulated data symbols as pilots to refine the channel estimate without extra training overhead.
Decision-directed equalization
Decision-directed equalization is an adaptive equalization mode in which a receiver replaces the training sequence with its own detected symbols as the reference for continued adaptation, letting the equalizer track the channel without repeated known data.