68 results for “Comprehensive Evaluation”

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Research ArticleOpen accessPhrase in the titlePM2.5 Prediction Using Homogenous and Heterogenous Ensemble Learning: A Comprehensive EvaluationShrabani Medhi, Minakshi GogoiAir pollution is a global issue. PM2.5 is considered to be the most dangerous pollutant. Prediction of PM2.5 concentration is important so that effective measures can be taken beforehand. A multitude of machine learning methodologies have been employed in forecasting PM2.5 levels, utilizing diverse combinations of ensemble classifiers and regressors. However, there are three important issues that need to be … …Journal of Computer Science, Vol. 20, Issue 9 · 20 Jun 2024 · 5,176 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleAdvanced Facial Emotion Recognition Using DCNN-ELM: A Comprehensive Approach to Preprocessing, Feature Extraction and Performance EvaluationBoopalan K., Satyajee Srivastava, K. Kavitha et al.As a subfield of affective computing, Facial Emotion Recognition (FER) teaches computers to read people's facial expressions to determine their emotional state. Because facial expressions convey 55% of an individual's emotional and mental state in the whole range of face-to-face communication, Facial Emotion Recognition is crucial for connecting humans and computers. Improvements in the way computer systems (robotic systems) interact … …Journal of Computer Science, Vol. 21, Issue 1 · 30 Nov 2024 · 5,899 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleA Comprehensive Review and Performance Evaluation of Detection Techniques of Black Hole Attack in MANETNaveen Hemrajani, Sunil Kumar JangirMobile Ad Hoc Network (MANET) is an auto Configuring network. Due to its natural characteristics, a MANET is vulnerable to many security threats. Blackhole attack compromises the performance and the reliability of the network. Since nodes are allowed to move freely within the network, it becomes very important to protect the communication among mobile nodes for the sake of security. … …Journal of Computer Science, Vol. 13, Issue 10 · 18 Oct 2017 · 7,732 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsEffects of Fertilization Frequency and Amount on the Chemometric Characteristics, Physiology, and Yield of Tomato Under Substrate CultivationEnling Ji, Qianqian Di, Qingjie Du et al.This study examined the effects of fertilization frequency and quantity on growth, yield, and quality of tomatoes under substrate cultivation. A factorial experiment evaluated two fertilization frequencies (every 5 or 10 days) and three fertilization levels (15.69, 31.38, or 62.76 kg·ha⁻¹), along with an unfertilized control. Plants were assessed for growth and development, photosynthetic pigment content, gas exchange parameters, nutrient … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 4 · 16 Feb 2026 · 1,715 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsLocally-Chosen versus State-Mandated Success Criteria: A Retrospective Evaluation of the Effectiveness of the Success-For-All Program with Fourth and Seventh Grade Hispanic StudentsJames Carifio, Dalis DominguezProblem statement: This study compared the growth in reading competencies of Hispanic female and male students in the SFA program as measured by the Massachusetts Comprehensive Assessment System (MCAS) and the Scholastic Reading Inventory (SRI). Approach: The study was a retrospective study with several a priori hypotheses and examined logical comparison groups of 4th and 7th graders, who received 1 … …Current Research in Psychology, Vol. 1, Issue 2 · 31 Dec 2010 · 7,983 accessesView PDF Cite

Research ArticleOpen accessIn the abstractIntegrated Monitoring of Endocrine-Disrupting Chemicals: Analytical Chemistry and Biological Assessment ApproachesChangjin Li, Jing Huo, Zijun Dou et al.Endocrine-Disrupting Chemicals (EDCs) in aquatic environments pose significant threats to ecosystems and human health. These compounds interfere with hormonal regulation at low concentrations and have non-monotonic dose-response relationships, posing challenges to conventional risk assessment. This review systematically compares current EDC monitoring methods, including instrumental chemical analysis and receptor-based biological detection systems, to evaluate sensitivity thresholds, sample throughput, and mechanistic selectivity … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 3 Jul 2026 · 1,081 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEvaluation and Selection of Kushum Horses and their Dairy and Meat Productivity by Economic and Useful TraitsAkimbekov Amin, Otebayev Zhassulan, Kurmangali Lailim et al.The research conducted a comprehensive evaluation of the Kushum horse breed based on economically valuable traits, including dairy and meat productivity, with the aim of selecting the most promising animals for further breeding. The research was conducted at two farms in Kazakhstan ("Bereke" and Kulunshak") in 2022-2025. 1084 individual horses were researched, including groups of horses of different intra-breed types. … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 2 Jul 2026 · 1,070 accessesView PDF Cite

Research ArticleOpen accessIn the abstractHybrid Deep Learning Model for Evaluating Subjective Answers Based on Semantic Textual SimilaritySiddhesh Kudtarkar, Kavita ShirsatSubjective answer evaluation requires accurately identifying semantic similarities between student and reference responses. This study introduces a Hybrid Deep Learning Model (HDLM) that integrates CNN, GRU, and LSTM architectures to assess Semantic Textual Similarity (STS) more effectively. The HDLM employs two parallel branches-CNN-GRU and CNN-LSTM to capture both local syntactic features and long-range contextual dependencies, followed by Manhattan distance for … …Journal of Computer Science, Vol. 22, Issue 4 · 7 Apr 2026 · 1,690 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEffects Of Ultra-High Pressure and Thermal Treatment on Quality Characteristics of Prepared Mackerel Fish BallsBiaoshi Wang, Xiaojun Hu, Jingqiu Ma, Ying XuSafe and high-quality prepared foods are increasingly preferred by consumers. This study investigates how ultra-high pressure (UHP) and thermal treatment affect the quality characteristics of prepared mackerel fish balls for surimi product manufacturing. Prepared mackerel fish balls were subjected to UHP treatment at 250 or 350 MPa (10 min) and thermal processing (121°C for 13 or 15 min) to establish … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 3 · 6 Jan 2026 · 2,237 accessesView PDF Cite

Research ArticleOpen accessIn the abstractPerson Re-Identification From Video Surveillance Systems Using Artificial Intelligence MethodsRevathi Lavanya Baggam, Vatsavayi Valli KumariThe study explores use of deep learning models in person re identification, leveraging the advancements made in face recognition however the abundance of model choices presents a challenge in selecting the optimal architecture. The study proposes a comprehensive framework for evaluating deep learning models on person re-identification tasks by considering various performance metrics, dataset preprocessing methods, model architectures, and evaluation … …Journal of Computer Science, Vol. 21, Issue 8 · 19 Sep 2025 · 4,836 accessesView PDF Cite