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This book includes papers from the section “Multisensor Information Fusion”, from Sensors between 2018 to 2019. It focuses on the latest research results of current multisensor fusion technologies and represents the latest research trends, including traditional information fusion technologies, estimation and filtering, and the latest research, artificial intelligence involving deep learning.
linear regression  covariance matrix  data association  sensor fusing  SLAM  multisensor data fusion  conflicting evidence  Dempster–Shafer evidence theory  belief entropy  similarity measure  data classification  fault diagnosis  BarShalom Campo  Covariance Projection method  data fusion  distributed architecture  Kalman filter  linear constraints  inconsistent data  user experience evaluation  user experience measurement  eyetracking  facial expression  galvanic skin response  EEG  interaction tracker  selfreporting  user experience platform  mixmethod approach  image fusion  multifocus  weight maps  gradient domain  fast guided filter.  DempsterShafer evidence theory (DST)  uncertainty measure  open world  closed world  Deng entropy  extended belief entropy  sensor data fusion  orthogonal redundant inertial measurement units  data fusion architectures  sensors bias  fire source localization  dynamic optimization  global information  the RangePointRange frame  the RangeRangeRange frame  sensor array  SINS/DVL integrated navigation  unscented information filter  square root  state probability approximation  most suitable parameter form  deep learning  data preprocessing  Human Activity Recognition (HAR)  Internet of things (IoT)  Industry 4.0  trajectory reconstruction  lowcost sensors  embedded systems  powered two wheels (PTW)  safe trajectory  data fusion  health management decision  grey group decisionmaking  health reliability degree  maintenance decision  sensor system  leastsquares filtering  leastsquares smoothing  networked systems  random parameter matrices  random delays  packet dropouts  multisensor system  multisensor information fusion  particle swarm optimization  sensor data fusion algorithm  distributed intelligence system  multisensor time series  deep learning  machine health monitoring  timedistributed ConvLSTM model  spatiotemporal feature learning  optimal estimate  unknown inputs  distributed fusion  augmented state Kalman filtering (ASKF)  soft sensor  coefficient of determination maximization strategy  expectation maximization (EM) algorithm  Gaussian mixture model (GMM)  alumina concentration  multisensor joint calibration  highdimensional fusion data (HFD)  supervoxel  Gaussian density peak clustering  sematic segmentation  multisensor data fusion  multitarget tracking  GMPHD  sonar network  RFS  attitude estimation  Kalman filter  land vehicle  magnetic angular rate and gravity (MARG) sensor  quaternion  yaw estimation  network flow theory  multitarget tracking  spectral clustering  A* search algorithm  RTS smoother  integer programming  Surface measurement  multisensor measurement  surface modelling  data fusion  Gaussian process  multisensor network  observable degree analysis  information fusion  nonlinear system  hybrid adaptive filtering  weighted fusion estimation  squareroot cubature Kalman filter  information filter  surface quality control  multisensor data fusion  cutting forces  vibration  acoustic emission  signal feature extraction methods  predictive modeling techniques  attitude  orientation  estimation  Kalman filter  quaternion  manifold  image registration  evidential reasoning  belief functions  uncertainty  DoS attack  industrial cyberphysical system (ICPS)  security zones  mimicry security switch strategy  fixedpoint filter  extended Kalman filter  nested iterative method  Steffensen’s iterative method  convergence condition  vehicular localization  target positioning  highdefinition map  vehicletoeverything  intelligent and connected vehicles  intelligent transport system  image registration  nonrigid feature matching  local structure descriptor  Gaussian mixture model  aircraft pilot  workload  multisource data fusion  fuzzy neural network  principal component analysis  parameter learning  drift compensation  domain adaption  feature representations  electronic nose  data fusion  dual gating  MEMS accelerometer and gyroscope  cardiac PET  outofsequence  multitarget tracking  random finite set  gaussian mixture probability hypothesis density  multisensor system  Gaussian process regression  Bayesian reasoning method  Dempster–Shafer evidence theory (DST)  uncertainty measure  novel belief entropy  multisensor data fusion  decisionlevel sensor fusion  electronic nose  subspace alignment  interference suppression  transfer  evidence combination  timedomain data fusion  object classification  uncertainty  multirotor UAV  precision landing  artificial marker  pose estimation  sensor fusion  camera  LiDAR  calibration  plane matching  ICP  projection  data fusion  data registration  adaptive distance function  complex surface measurement  Gaussian process model  Dempster–Shafer evidence theory  conflict measurement  mutual support degree  Hellinger distance  Pignistic vector angle  multisensor data fusion  multienvironments  state estimation  unmanned aerial vehicle
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Some of the most beautiful studies in Mathematics are related to Symmetry and Geometry. For this reason, we select here some contributions about such aspects and Discrete Geometry. As we know, Symmetry in a system means invariance of its elements under conditions of transformations. When we consider network structures, symmetry means invariance of adjacency of nodes under the permutations of node set. The graph isomorphism is an equivalence relation on the set of graphs. Therefore, it partitions the class of all graphs into equivalence classes. The underlying idea of isomorphism is that some objects have the same structure if we omit the individual character of their components. A set of graphs isomorphic to each other is denominated as an isomorphism class of graphs. The automorphism of a graph will be an isomorphism from G onto itself. The family of all automorphisms of a graph G is a permutation group.
strongly regular graph  automorphism group  orbit matrix  binary polyhedral group  icosahedron  dodecahedron  600cell  Electric multiple unit trains  highlevel maintenance planning  time window  0–1 programming model  particle swarm algorithm  fixed point  splitquaternion  quadratic polynomial  splitoctonion  neutrosophic set  neutrosophic rough set  pessimistic (optimistic) multigranulation neutrosophic approximation operators  complete lattice  rough set  matroid  operator  attribute reduction  graded rough sets  rough intuitionistic fuzzy sets  dominance relation  logical conjunction operation  logical disjunction operation  multigranulation  planar point set  convex polygon  disjoint holes  fuzzy logic  pseudoBCI algebra  quasimaximal element  KGunion  quasialternating BCKalgebra  quality function deployment  engineering characteristics  group decision making  2tuple  metro station  emergency routes  graph partitioning  graph clustering  invariant measures  partition comparison  finite automorphism groups  graph automorphisms  Fuzzy sets  ring  normed space  fuzzy normed ring  fuzzy normed ideal  fuzzy implication  quantum Balgebra  qfilter  quotient algebra  basic implication algebra  Detour–Harary index  maximum  unicyclic  bicyclic  cacti  threeway decisions  intuitionistic fuzzy sets  multigranulation rough intuitionistic fuzzy sets  granularity importance degree  complexity  Chebyshev polynomials  gear graph  pyramid graphs  edge detection  Laplacian operation  regularization  parameter selection  performance evaluation  aggregation operator  triangular norm  ?convex set  atombond connectivity index  geometric arithmetic index  line graph  generalized bridge molecular graph  graceful labeling  edge graceful labeling  edge even graceful labeling  polar grid graph  graph  good drawing  crossing number  join product  cyclic permutation  nonlinear  synchronized  linear discrete  chaotic system  algorithm  generalized permanental polynomial  coefficient  copermanental  isoperimetric number  random graph  intersection graph  social network  Abel–Grassmann’s groupoid (AGgroupoid)  Abel–Grassmann’s group (AGgroup)  involution AGgroup  commutative group  filter  graceful labeling  edge even graceful labeling  cylinder grid graph  selective maintenance  multistate system  human reliability  optimization  genetic algorithm  hypernearring  multitransformation  embedding  distance matrix (spectrum)  distance signlees Laplacian matrix (spectrum)  (generalized) distance matrix  spectral radius  transmission regular graph  graph  good drawing  crossing number  join product  cyclic permutation  cyclic associative groupoid (CAgroupoid)  cancellative  variant CAgroupoids  decomposition theorem  construction methods
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