authors stringlengths 2 14.7k | color sequence | depth int64 500k 1.14M | field stringlengths 3 22 ⌀ | id int64 504 75,798B | match_count int64 3 10 | position sequence | title stringlengths 1 287 | hits list |
|---|---|---|---|---|---|---|---|---|
R. G. Jahn | [
0.26275,
0.60784,
0.60471
] | 671,145 | Philosophy | 8,022,999,202,700 | 7 | [
-32.77751,
11.98381
] | The Persistent Paradox of Psychic Phenomena: An Engineering Perspective | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "None",
"aac_zlib3_book": "None",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_uni... |
Christopher M. Raymond, Gregory Brown, Delene Weber | [
0.45765,
0.64588,
0.32275
] | 748,626 | Psychology | 8,607,114,587,095 | 6 | [
148.71356,
167.50122
] | The Measurement of Place Attachment: Personal, Community, and Environmental Connections | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "None",
"aac_zlib3_book": "None",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_uni... |
Yayoi Saito, Reiko Abe Auestad, Kari W.ærness | [
0.1051,
0.47529,
0.32157
] | 760,380 | Social Work | 33,208,687,133,941 | 6 | [
-31.62745,
12.22317
] | Meeting the Challenges of Elder Care | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "None",
"aac_zlib3_book": "None",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_uni... |
B. Azzerboni, M. Carpentieri, F. La Foresta, F. C. Morabito | [
0.74431,
0.35529,
0.29882
] | 500,121 | Engineering | 9,131,100,759,012 | 10 | [
16.5359,
1.35667
] | Neural-Ica and Wavelet Transform for Artifacts Removal in Surface EMG | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "None",
"aac_zlib3_book": "None",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_uni... |
Bruno Azzerboni, Giovanni Finocchio, Maurizio Ipsale, Fabio La Foresta, Francesco Carlo Morabito | [
0.74431,
0.35529,
0.29882
] | 502,667 | Engineering | 9,191,230,044,843 | 10 | [
16.53389,
1.35845
] | A New Approach to Detection of Muscle Activation by Independent Component Analysis and Wavelet Transform | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "None",
"aac_zlib3_book": "None",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_uni... |
Giuseppina Inuso, Fabio La Foresta, Nadia Mammone, Francesco Carlo Morabito | [
0.74431,
0.35529,
0.29882
] | 512,115 | Engineering | 9,036,611,479,144 | 10 | [
16.53089,
1.35835
] | Wavelet-Ica Methodology for Efficient Artifact Removal From Electroencephalographic Recordings | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "None",
"aac_zlib3_book": "None",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_uni... |
B. Azzerboni, M. Ipsale, F. La Foresta, N. Mammone, F. C. Morabito | [
0.74431,
0.35529,
0.29882
] | 512,820 | Engineering | 8,400,956,061,525 | 10 | [
16.53474,
1.35795
] | A Comparison of ICA Algorithms in Biomedical Signal Processing | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "None",
"aac_zlib3_book": "None",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_uni... |
Nadia Mammone, Fabio La Foresta, Francesco C. Morabito, Mario Versaci, Umberto Aguglia | [
0.74431,
0.35529,
0.29882
] | 512,994 | Engineering | 8,332,236,841,893 | 10 | [
16.53628,
1.35784
] | Mutual Information for Measuring Independence of STLmax Time Series in the Epileptic Brain | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "None",
"aac_zlib3_book": "None",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_uni... |
B. Azzerboni, M. Ipsale, F. La Foresta, F. C. Morabito | [
0.74431,
0.35529,
0.29882
] | 514,185 | Engineering | 8,967,891,994,726 | 10 | [
16.53266,
1.3599
] | Independent Component Analysis for Meaningful Peaks Detection in EEG Signals | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "None",
"aac_zlib3_book": "None",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_uni... |
B. Azzerboni, G. Finocchio, M. Ipsale, F. La Foresta, F. C. Morabito | [
0.74431,
0.35529,
0.29882
] | 518,738 | Engineering | 9,010,841,674,866 | 10 | [
16.53657,
1.35714
] | Intracranial Pressure Signals Forecasting With Wavelet Transform and Neuro-Fuzzy Network | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "None",
"aac_zlib3_book": "None",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_uni... |
Matteo Cacciola, Maurizio Campolo, Fabio La Foresta, Francesco Carlo Morabito, Mario Versaci | [
0.74431,
0.35529,
0.29882
] | 519,609 | Engineering | 9,225,589,795,400 | 10 | [
16.52634,
1.35986
] | A Kernel Based Learning by Sample Technique for Defect Identification Through the Inversion of a Typical Electric Problem | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "None",
"aac_zlib3_book": "None",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_uni... |
A. J. Rutgers | [
0.54275,
0.24157,
0.42353
] | 519,817 | Chemistry | 56,891,136,804,574 | 10 | [
16.38804,
1.45257
] | Physical Chemistry | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "",
"aac_zlib3_book": "",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_unified": {... |
Fabio La Foresta, Nadia Mammone, Francesco Carlo Morabito | [
0.74431,
0.35529,
0.29882
] | 523,374 | Engineering | 7,653,631,752,416 | 10 | [
16.53752,
1.35836
] | Artifact Cancellation From Electrocardiogram by Mixed Wavelet-Ica Filter | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "None",
"aac_zlib3_book": "None",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_uni... |
Nadia Mammone, Giuseppina Inuso, Fabio La Foresta, Francesco Carlo Morabito | [
0.74431,
0.35529,
0.29882
] | 525,639 | Engineering | 8,504,035,289,774 | 10 | [
16.53432,
1.35848
] | Multiresolution ICA for Artifact Identification From Electroencephalographic Recordings | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "None",
"aac_zlib3_book": "None",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_uni... |
F. La Foresta, F. C. Morabito, B. Azzerboni, M. Ipsale | [
0.74431,
0.35529,
0.29882
] | 528,100 | Engineering | 8,529,805,330,377 | 10 | [
16.5351,
1.35729
] | Detecting Bioelectric Muscle Activity Corrupted by Superimposed Magnetic Resonance Field | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "None",
"aac_zlib3_book": "None",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_uni... |
Fabio La Foresta, Francesco Carlo Morabito, Bruno Azzerboni, Maurizio Ipsale | [
0.74431,
0.35529,
0.29882
] | 528,812 | Engineering | 9,113,920,898,832 | 10 | [
16.53594,
1.35777
] | Revealing Bioelectric Muscle Activity Corrupted by Superimposed Magnetic Resonance Field | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "None",
"aac_zlib3_book": "None",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_uni... |
Nadia Mammone, Maurizio Fiasché, Giuseppina Inuso, Fabio La Foresta, Francesco Carlo Morabito, Mario Versaci | [
0.74431,
0.35529,
0.29882
] | 531,353 | Engineering | 8,864,812,543,036 | 10 | [
16.53474,
1.35871
] | Information Theoretic Learning for Inverse Problem Resolution in Bio-Electromagnetism | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "None",
"aac_zlib3_book": "None",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_uni... |
S. Calcagno, F. C. Morabito, M. Versaci | [
0.74431,
0.35529,
0.29882
] | 556,675 | Engineering | 8,134,668,355,144 | 9 | [
16.53907,
1.35589
] | A Novel Approach for Detecting and Classifying Defects in Metallic Plates | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "None",
"aac_zlib3_book": "None",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_uni... |
F. C. Morabito, S. Calcagno, M. Versaci | [
0.74431,
0.35529,
0.29882
] | 567,081 | Engineering | 8,890,582,783,093 | 9 | [
16.54009,
1.35601
] | A Soft Computing Approach to Reconstruct Defects on Metallic Plates | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "None",
"aac_zlib3_book": "None",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_uni... |
M. Cacciola, S. Calcagno, F. C. Morabito, M. Versaci | [
0.74431,
0.35529,
0.29882
] | 567,643 | Engineering | 8,718,783,891,813 | 9 | [
16.53644,
1.35723
] | Swarm Optimization for Imaging of Corrosion by Impedance Measurements in Eddy Current Test | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "None",
"aac_zlib3_book": "None",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_uni... |
Jordi Oliver-Solà, Alejandro Josa, Joan Rieradevall, Xavier Gabarrell | [
0.54275,
0.24157,
0.42353
] | 576,280 | Architecture | 8,074,538,595,198 | 8 | [
15.43743,
1.84449
] | Environmental Optimization of Concrete Sidewalks in Urban Areas | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "None",
"aac_zlib3_book": "None",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_uni... |
Jordi Oliver-Solà, Xavier Gabarrell, Joan Rieradevall | [
0.54275,
0.24157,
0.42353
] | 580,504 | Architecture | 7,627,862,025,908 | 8 | [
15.43798,
1.84305
] | Environmental Impacts of Natural Gas Distribution Networks Within Urban Neighborhoods | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "None",
"aac_zlib3_book": "None",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_uni... |
Matteo Cacciola, A. Gasparics, F. C. Morabito, M. Versaci, V. Barrile | [
0.74431,
0.35529,
0.29882
] | 583,262 | Engineering | 7,610,682,516,380 | 8 | [
16.54836,
1.35527
] | Advances in Signal Processing to Reduce Lift-Off Noise in Eddy Current Tests | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "None",
"aac_zlib3_book": "None",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_uni... |
Matteo Cacciola, Giuseppe Megali, Maurizio Fiasché, Mario Versaci, Francesco C. Morabito | [
0.74431,
0.35529,
0.29882
] | 583,494 | Engineering | 9,062,381,075,932 | 8 | [
16.55019,
1.35527
] | A Comparison Between Neural Networks and K-Nearest Neighbours for Blood Cells Taxonomy | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "None",
"aac_zlib3_book": "None",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_uni... |
Matteo Cacciola, Francesco C. Morabito, Daniela Polimeni, Mario Versaci | [
0.74431,
0.35529,
0.29882
] | 587,113 | Engineering | 8,950,712,314,000 | 8 | [
16.55069,
1.35565
] | Fuzzy Characterization of Flawed Metallic Plates With Eddy Current Tests | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "None",
"aac_zlib3_book": "None",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_uni... |
M. Versaci, F. C. Morabito | [
0.74431,
0.35529,
0.29882
] | 588,162 | Engineering | 8,864,812,796,444 | 8 | [
16.54764,
1.35596
] | Fuzzy Time Series Approach for Disruption Prediction in Tokamak Reactors | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "None",
"aac_zlib3_book": "None",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_uni... |
Matteo Cacciola, Domenico Costantino, Francesco Carlo Morabito, Mario Versaci | [
0.74431,
0.35529,
0.29882
] | 589,491 | Engineering | 8,014,409,250,792 | 8 | [
16.55064,
1.35528
] | Dynamical Analysis for Flaw Shape Identification in Non Linear Eddy Current Tests | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "None",
"aac_zlib3_book": "None",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_uni... |
Francesco Carlo Morabito, Domenico Labate, Fabio La Foresta, Alessia Bramanti, Giuseppe Morabito, Isabella Palamara | [
0.6,
0.6,
0.6
] | 592,459 | null | 7,533,373,120,183 | 8 | [
16.53116,
1.35475
] | Multivariate Multi-Scale Permutation Entropy for Complexity Analysis of Alzheimer's Disease EEG | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "None",
"aac_zlib3_book": "None",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_uni... |
C. M. Fife, J. A. McCarroll, M. Kavallaris | [
0.74431,
0.35529,
0.29882
] | 593,261 | Biology | 8,340,826,789,713 | 8 | [
16.4433,
1.35756
] | Movers and Shakers: Cell Cytoskeleton in Cancer Metastasis | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "None",
"aac_zlib3_book": "None",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_uni... |
Michele Buonsanti, S. Calcagno, F. C. Morabito, Mario Versaci | [
0.74431,
0.35529,
0.29882
] | 603,085 | Engineering | 7,885,560,452,940 | 8 | [
16.55088,
1.35554
] | Eddy Current and Fuzzy Inference to Control Defects Growth in Reinforced Concrete | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "None",
"aac_zlib3_book": "None",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_uni... |
Jordi Oliver-Solà, Alejandro Josa, Alejandro P. Arena, Xavier Gabarrell, Joan Rieradevall | [
0.54275,
0.24157,
0.42353
] | 605,041 | Architecture | 8,581,344,771,421 | 8 | [
15.43432,
1.84479
] | The GWP-Chart: An Environmental Tool for Guiding Urban Planning Processes. Application to Concrete Sidewalks | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "None",
"aac_zlib3_book": "None",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_uni... |
V. Barrile, M. Cacciola, F. C. Morabito, M. Versaci | [
0.74431,
0.35529,
0.29882
] | 611,301 | Engineering | 8,529,805,394,522 | 8 | [
16.55194,
1.35545
] | TEC Measurements Through GPS and Artificial Intelligence | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "None",
"aac_zlib3_book": "None",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_uni... |
Nadia Mammone, Giuseppina Inuso, Fabio La Foresta, Mario Versaci, Francesco C. Morabito | [
0.74431,
0.35529,
0.29882
] | 619,925 | Engineering | 8,409,546,038,506 | 8 | [
16.54858,
1.35576
] | Clustering of Entropy Topography in Epileptic Electroencephalography | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "None",
"aac_zlib3_book": "None",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_uni... |
Francesco Carlo Morabito, Mario Versaci | [
0.74431,
0.35529,
0.29882
] | 621,176 | Engineering | 8,237,747,433,848 | 8 | [
16.55247,
1.35533
] | Fuzzy Neural Identification and Forecasting Techniques to Process Experimental Urban Air Pollution Data | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "None",
"aac_zlib3_book": "None",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_uni... |
Matteo Cacciola, Diego Pellicano, Giuseppe Megali, Salvatore Calcagno, Francesco Carlo Morabito | [
0.74431,
0.35529,
0.29882
] | 625,112 | Engineering | 9,131,100,939,065 | 8 | [
16.55188,
1.35551
] | Rotating Electromagnetic Field for NDT Inspections | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "None",
"aac_zlib3_book": "None",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_uni... |
Sangeeta N. Bhatia, Donald E. Ingber | [
0.6,
0.6,
0.6
] | 643,226 | null | 7,619,272,176,046 | 7 | [
19.4728,
3.31326
] | Microfluidic Organs-On-Chips | [
{
"_id": "ol:OL6110476M",
"_index": "aarecords_metadata",
"_score": 0.55043983,
"_source": {
"aa_lgli_comics_2022_08_file": "None",
"aac_zlib3_book": "None",
"file_unified_data": {
"author_additional": [],
"author_best": "A. J. Rutgers",
"classifications_uni... |
End of preview. Expand in Data Studio
README.md exists but content is empty.
- Downloads last month
- 11