Results 41 to 50 of about 2,863,518 (175)
Contiguous Cropland in China Promotes Novelty in Crop Planting Structures
Abstract Understanding how cropland restructuring contributes to agricultural system transformation requires a clear representation of changes in crop planting structures. This study introduces “crop planting structure novelty” (hereafter, crop novelty), defined as the degree to which the current planting‐area structure of major crops deviates from a ...
Youzhu Zhao +4 more
wiley +1 more source
Optimizing SMS Spam Detection Using Machine Learning Models
Spam detection is an important problem in natural language processing. In this paper, we evaluate multiple machine learning models for SMS spam detection using the SMS Spam Collection dataset.
Sahithi Bashetty
core +6 more sources
Enhancing SMS Spam Detection using Deep Learning Techniques [PDF]
SMS spam is a major problem in mobile communication which will cause issues like financial loss and privacy violations. SMS spam detection is used to identify unwanted messages, protecting users from scams.
Giri Moorthy, Tamil Selvan
core +3 more sources
The dangers, directness, and purposes of online collective actions
Abstract Most research on online collective action investigates low‐effort, social media‐based actions rather than tactics with highly disruptive potential. To better account for the variety of forms of collective actions that use digital technologies, we conducted an open‐source intelligence search (Study 1a) and an expert consultation survey (Study ...
Catherine G. Lowery +2 more
wiley +1 more source
Synthesis and Investigation of Bonding Scenario in a Bis(silaselenone)
Silaselenones, the compounds containing Si=Se bond, are rarely reported in the literature. Silaselenones are the class of compounds that possess Si=Se bond. Herein, we report a bis(silaselenone) and we investigate nature of bonding between Si–Si atoms and Si—Amidinate moieties by employing Natural bond orbital (NBO), Quantum theory of atoms in ...
Saroj Kumar Kushvaha +7 more
wiley +1 more source
Enhanced Spam Detection Using Mutual Information Feature Selection and Jaya-Tuned TabTransformer
Spam detection remains a critical challenge in modern communication systems, requiring sophisticated methods to identify malicious content accurately. This paper presents a novel hybrid approach combining mutual information-based feature selection, Jaya
Mohamed Goismi +3 more
doaj +3 more sources
A Secure Lightweight SMS Spam Detection Framework with Robustness to Text Obfuscation Attacks
The proliferation of mobile communications has led to a significant increase in SMS spam, posing challenges related to security, privacy, and user experience.
Baraa Tareq Hammad +3 more
doaj +1 more source
ABSTRACT This study investigates how academic social networking site (ASNS) activity influences scholarly citations and, in turn, impacts university rankings. Data were gathered through an online survey targeting university faculty in Bangladesh via email and Facebook groups, such as the Public University Teachers Forum and University Teachers ...
Sabrina Aktar +2 more
wiley +1 more source
Enhanced Spam detection in SMS Communication Using Machine Learning and NLP Techniques
Unwanted Spam communications spread over a variety of electronic means are harmful. Malicious communications delivered to numerous individuals on various channels without their consent can be dangerous as they commonly include links and unsolicited ...
Rubina Shaheen +3 more
doaj +1 more source
Usability Evaluation of a Push‐Based Passwordless Authentication Model Using Public‐Key Cryptography
Despite major advancements in the sphere of the public‐key authentication specifically in the instances of the newly established standards like WebAuthn and the FIDO2, the practical implementation of the passwordless login systems is still hindered by the usability factors, platform‐related requirements, and the very nature of the deployment process is
Ghulam Mustafa +6 more
wiley +1 more source

