Results 151 to 160 of about 2,780,368 (218)

AgriX-SENet: Squeeze-and-Excitation-based deep learning framework for explainable plant disease detection in sustainable agriculture. [PDF]

Front Plant Sci
Raj S, Johri P, Baghela VS, Khan AA, Ayub MS, Koo I.   +5 more
europepmc   +1 more source

User-Reported Issues With Mental Health Apps: Machine-Assisted Topic Analysis of Social Media Posts. [PDF]

JMIR Mhealth Uhealth
Bolter J, Papakonstantinou T, Bondaronek P.   +2 more
europepmc   +1 more source

GEmFakeABSA: graph-embedded fake review detection using aspect-based sentiment analysis. [PDF]

Sci Rep
Chauhan GS, Verma AK, Chaudhary S, Maurya G.   +3 more
europepmc   +1 more source

Photonic networking of quantum memories in high dimensions. [PDF]

Sci Adv
Shalaev M, Saha S, Toh G, Goetting I, Kalakuntla A, Shi HB, O'Reilly J, Yu Y, Monroe C.   +8 more
europepmc   +1 more source

ThreatSim: A novel stimuli database of threatening and nonthreatening image pairs rated for similarity. [PDF]

Behav Res Methods
Zsido AN, Hout MC, Daggett EW, Basler J, Csonka O, Yıldız B, Hernandez M, White B, Kiss BL.   +8 more
europepmc   +1 more source

A multidimensional cybercrime annotation dataset for a closed-access Russian-English underground hacking forum. [PDF]

Data Brief
Mischinger M, Pastrana S, Suarez-Tangil G.   +2 more
europepmc   +1 more source

National guidelines and good practices on unmet needs in self-care, education, training, and digital tools in person-centered dementia care models across Europe-a cross-country comparative analysis. [PDF]

Front Med (Lausanne)
Blecha N, Johannsen AH, Kuźma-Kozakiewicz M, Cwiek P, Sarnowski TJ, Danusevičiene L, Rosol M, Trayko L, Mehrabian S, Gereš N, Orlović KK, Litauniece ZA, García NM, Bartkevičiūtė B, Thyrian JR.   +14 more
europepmc   +1 more source

Detection of unseen malware threats using generative adversarial networks and deep learning models. [PDF]

Sci Rep
Joshi C, Kumar J, Kumawat G.
europepmc   +1 more source

Universal logical operations in a silicon quantum processor. [PDF]

Nat Nanotechnol
Zhang C, Xu F, Zhang S, Duan M, Zhong D, Bai X, Wang H, Huang C, Deng Y, Gao M, Zhang YN, Liu J, Li C, Jiang Y, Zhao B, Shu H, Wu K, Shi K, Ding Q, Tian Z, Wang G, Yuan X, Xin T, Hu G, Liu S, Pan T, Huang P, He Y, Yu D.   +28 more
europepmc   +1 more source

krepp: a k-mer-based maximum pseudo-likelihood method for estimating read distances and genome-wide phylogenetic placement. [PDF]

Genome Biol
Şapcı AOB, Mirarab S.
europepmc   +1 more source